Jobs For Faculty Of Science Graduates in Egypt

<p>Role Purpose Design and deliver AI, data science, and Agentic AI solutions that solve business problems and create measurable value.</p><p>Key Responsibilities Identify AI use cases with business teams. Build machine learning and data science models. Develop GenAI solutions using LLMs, RAG, prompts, and AI agents. Prepare and analyse data for AI use cases. Evaluate model performance and business impact. Support responsible AI, testing, monitoring, and documentation. Explain AI capabilities and limitations in business language.</p><p><strong>Desired Candidate Profile</strong></p><p>Required Skills Python, machine learning, data science, model evaluation, and GenAI tools. Experience with LLMs, RAG, vector databases, APIs, or AI agents. Strong problem-solving and communication skills. Preferred Experience with Azure AI, OpenAI, Copilot Studio, LangChain, LlamaIndex, Flowise, or similar tools.</p>

About BGIBGI Group was founded in 1999 in China with the vision of using genomics for the benefit of mankind and has since become the largest genomics organization in the world. With over 10,000 employees, BGI operates in more than 100 countries, focusing on research and applications in healthcare, agriculture, conservation, and environmental fields.<br>BGI has a proven track record of innovative, high-profile research, which has generated over 4,500 publications, with 520+ publications in top-tier journals such as Nature, Science and Cell. Additionally, in the field of R&D, BGI was ranked No.1 among corporations in the life science/biotechnology sector in the Asia-Pacific region and No.5 worldwide by Nature Index.<br>About MGIMGI is one of the subsidiaries of BGI Group, it is committed to building core tools and technology to lead life science through intelligent innovation. With a focus on R&D, production, and sales of DNA sequencing instruments, reagents, and related products, MGI provides real-time, panoramic, and full-life-cycle equipment and systems for precision medicine, precision agriculture, precision healthcare, and other relevant industries.<br>MGI is a leading producer and one of the few companies in the world that can independently develop and mass-produce clinical high-throughput gene sequencers, its multi-omics platforms include genetic sequencing, medical imaging, and laboratory automation.<br>Our Mission is to develop and promote advanced life science tools for future healthcare, and to transform people’s lives for the better.<br>Our Message to the world is simple: lead in life science innovation, make everyone’s life healthier and longer.<br>Job Scope:Provide applications support (consultation, troubleshooting, customer training) to MGI's customers in assigned territory and collaborate across sales/marketing teams to develop, implement and manage business strategy.<br>Your duties as a FAS include but are not limited to the following:Coordinate and conduct customer training for MGI products and assays. Troubleshoot issues related to experimental design, data processing, software operation, sample preparation and chemical reaction. Perform preliminary on-site failure analysis to identify root cause and feedback to corresponding company department or personnel. Develop and maintain positive relationships with customers Support sales efforts through technical presentations, customer management or organizing seminar. Act as a key contributor of customer feedback to marketing and product development teams Proactively share experience, knowledge and skills to peers and help to build an organization with strong professionalism. Coach and mentor new hires as needed.<br>The successful candidates for this position are able to demonstrate:Master degree or above in Genetics, Molecular Biology or Bioinformatics or related subject. Sequencing academic/ practical background or work experience, such as library preparation or sequencer operation is preferred. Undergraduate with outstanding knowledge and skills is welcomed as well. Willingness to travel mainly within the appointed region. For training or occasional special calls, international traveling including China is required. Prior field experience supporting customers in a highly technical field preferred. Outstanding problem solving and interpersonal skills Demonstrated English written and verbal communication and training/presentation skills Excellent learning ability, experience working in an international company and biomedical instrumentation or technology preferred.<br>Here at MGI, we value people and consider our employees as partners. We have created a transparent, fair, and friendly environment. We implement an agile approach to management, providing each partner with enough independence as well as guidance. We take care of our partners’ physical and mental health and are dedicated to a life-work balance corporate culture. Not only do we bring life science closer to people, but we also participate in various charity programs, advocate for nature preservation, and support equality. We condemn any form of discrimination and are committed to providing job opportunities to everyone regardless of sex, race, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and more.<br>Let’s move to a brighter and more equal future together and deliver #Omicsforall

Company Description Neo AI is an AI-driven company focused on making Artificial Intelligence practical, accessible, and results-driven for individuals and businesses. The organization delivers end-to-end AI solutions, strategic consulting, hands-on training, and AI-powered digital marketing to help clients innovate, optimize operations, and accelerate growth. Its mission is to bridge the gap between AI technology and real-world business value by equipping professionals with future-ready AI skills. Neo AI partners with organizations to transform how they work, market, and grow by providing the expertise, strategy, and execution needed to achieve measurable impact.<br>Role Description The Head of Artificial Intelligence is a full-time, on-site leadership role based in Cairo, Egypt. This role oversees the design, development, and deployment of AI solutions across Neo AI’s products and services, ensuring alignment with business goals and client needs. Day-to-day responsibilities include leading cross-functional AI teams, defining technical roadmaps, reviewing and refining models, and setting standards for data quality, experimentation, and model governance. The Head of AI will collaborate with internal stakeholders and clients to translate business challenges into AI initiatives, supervise research into new techniques and tools, and guide AI integration into consulting, training, and marketing offerings. The role also involves mentoring team members, building partnerships with academic and industry communities, and contributing to thought leadership in the AI domain.<br>Qualifications<br> Strong foundations in Computer Science and Data Science, with the ability to design and evaluate scalable AI architectures and data pipelines. Proficiency in Pattern Recognition and related machine learning techniques to develop robust, production-ready AI models. Hands-on experience with Natural Language Processing (NLP) for building language-based applications and solutions. Applied expertise in Computer Vision for image, video, or visual analytics use cases. Extensive experience leading AI/ML teams, including setting technical direction, managing projects, and mentoring diverse talent. Proficiency with modern ML frameworks and tools (e.g., Python, Tensor Flow, PyTorch, cloud ML platforms) and solid understanding of MLOps practices. Ability to translate complex technical concepts into clear business impact for stakeholders and clients. Master’s or PhD in Computer Science, Data Science, AI, or a related field, or equivalent practical experience. Experience building AI solutions for commercial products or client engagements; background in consulting or training is a plus. Strong communication skills and willingness to work on-site in Cairo, Egypt, collaborating closely with local and international teams.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Eva Vet Science is a specialized animal health company and a proud member of the EVA Group, building on the strong legacy of EVA Pharma. We are dedicated to advancing animal health across Egypt, the Middle East, and global markets through the development and delivery of high-quality, innovative veterinary solutions. Job Summary: We are seeking a passionate and talented Vaccine Sales Representative Poultry Line to join our dynamic team. The ideal candidate will contribute to our mission of enhancing animal health and well-being, ensuring that we meet the highest standards of excellence in our industry. key Responsibilities: Achieve assigned sales and market share targets for poultry vaccines. Conduct regular field visits to promote Eva Vet Science vaccine portfolio and educate customers on the benefits and proper use of products. Provide technical support and address customer inquiries to ensure effective product usage and long-term satisfaction. Conduct market research and gather insights from customers to identify opportunities for product enhancement and expansion. Support the launch of new vaccines by delivering product training and ensuring effective market positioning. Utilize CRM tools to track sales performance and customer interactions, ensuring data-driven decision-making.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor s degree in veterinary medicine. 0-3 years of experience in sales, preferably in the Animal Health or vaccine Industry. Strong understanding of animal vaccination protocols and disease prevention strategies.</p><p></p></section>

<strong>Overview<br><br></strong>Microsoft’s Commerce team is collaborative and interdisciplinary. You will work closely with a diverse team within Microsoft that brings together Applied Scientists, Software Engineers, Data Engineers and Product Managers. By bringing together a unique combination of knowledge and skillsets, as well as cutting edge Technology, we build novel solutions to global online Shopping.<br><br>As a <strong>Snr Data &amp; Applied Science Specialist </strong>in AI, and NLP, you will build top-notch models to solve a multitude of tasks core to building and enriching Microsoft Product Catalog. This opportunity will allow you to accelerate your career growth, develop deep problem-solving skills, and collaborate with different teams through active engagement with people from different cultures.<br><br>Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.<br><br><strong>Responsibilities<br><br></strong><ul><li>You will master one or more subareas and gain expertise in a broad area of research, including applicable research techniques. You’ll also gain deep knowledge of a service, platform, or domain, and identify product needs by sharing the latest industry trends and applied technologies. </li><li>You will review business requirements and incorporate research to meet business goals. You‘ll provide strategic direction for the kinds of data used to solve problems and apply deep subject matter knowledge to support business impact. </li><li>You will participate in onboarding of team members and assist in developing academics to be members of multidiscipline teams. You’ll identify new research talent to join Microsoft and collaborate with the academic community to develop the recruiting pipeline. </li><li> You will document work in progress and experimentation results and share findings to promote innovation. You’ll also use your deep understanding of fairness and bias to contribute to ethics and privacy policies related to research processes and data collection. <br><br></li></ul><strong>Qualifications<br><br></strong><strong>Required Qualifications:<br><br></strong><ul><li>Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)</li><ul><li>OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)</li><li>OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)</li><li>OR equivalent experience.</li></ul><li>Experience in Maching Learning, Deep Learning and Problem Solving<br></li></ul><strong>Preferred Qualifications<br><br></strong><ul><li>Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)</li><ul><li>OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)</li><li>OR equivalent experience.<br></li></ul></ul>#MicrosoftAI<br><br>This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.<br><br>Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about <strong>requesting accommodations.</strong>

???? We’re Hiring | Medical Sales Representative<br><br>As a part of our expansion Andalusia Hospital we are looking for motivated and passionate Medical Sales Representatives to join our growing team.<br><br>???? Avalibale Area: Cairo & Alexandria & Behaira & Kafr shekh <br><br>Requirements:<br>- Bachelor’s degree in Pharmacy, Science or any related field<br>- Experience as a Medical Representative is a must<br>- Strong passion for sales and business growth<br>- Experience in health care and hospitals is preferred <br><br>Main Role:<br>- Promote Andalusia's medical services<br>- build strong relationships<br>- Achieve sales targets and support business growth<br><br>Benefits:<br>- Medical Insurance<br>- Social Insurance<br>- Attractive Bonus Scheme<br>- Clear Career Pathway & Growth Opportunities<br><br>???? Apply Now by sending cv & mention title.<br>Email: Aml. Ahmed@Andalusiagroup.net<br>Whats App: 01281907322<br><br>#Hiring #Medical Sales #Medical Representative #Sales Jobs #Healthcare #Andalusia Hospitals #Cairo Jobs #Alexandria Jobs #Business Development #Pharmacy Jobs #Science Jobs

<p>●&nbsp;&nbsp;&nbsp;&nbsp; Develop, train, and validate advanced machine learning and deep learning models (e.g., multi-layer perceptron's, convolutional neural networks, recurrent networks, and transformers) to predict patient risk, disease progression, and complex healthcare utilization patterns.</p><p></p><ul><li><p>Build and scale deep learning pipelines to process high-dimensional clinical datasets, medical imaging, or time-series physiological data</p></li></ul><p></p><p>●&nbsp;&nbsp;&nbsp;&nbsp; Formulate and execute predictive and prescriptive modeling strategies to optimize clinical workflows, inpatient flow, and resource allocation.</p><p></p><p>●&nbsp;&nbsp;&nbsp;&nbsp; Apply rigorous statistical methods and causal inference techniques (e.g., propensity score matching, difference-in-differences) to isolate and evaluate the clinical and operational impact of new hospital programs and pathways.</p><p></p><ul><li><p>Translate complex machine learning, deep learning, and statistical outputs into intuitive, actionable insights for clinicians, care managers, and executive leadership</p></li></ul><p></p><p><strong>Requirements</strong></p><h3>Education</h3><p>●&nbsp;&nbsp;&nbsp;&nbsp; <strong>Bachelor’s degree</strong> in Statistics, Computer Science, Engineering, or a highly quantitative discipline.&nbsp;&nbsp;&nbsp; </p><p></p><ul><li><p><strong>Master’s or PhD</strong> in Data Science, Computer Science, Deep Learning, Biostatistics, Biomedical Informatics, or a quantitative field with a heavy focus on machine learning and</p></li></ul><p></p><h3>Experience</h3><p>●&nbsp;&nbsp;&nbsp;&nbsp; <strong>1+ years</strong> of professional experience working strictly as a Data Scientist, Machine Learning Engineer, or Deep Learning Specialist.</p><p></p><p>●&nbsp;&nbsp; Prior experience in healthcare, clinical informatics, hospital operations, or pharmaceutical environments is <strong>highly preferred but not mandatory</strong>.</p><p></p><p>●&nbsp;&nbsp; Proven track record of developing, validating, and deploying predictive models (traditional ML or Deep Learning).</p><p></p><p>●&nbsp;&nbsp; Experience working directly with large, complex datasets (e.g., unstructured text, times-series, claims, or clinical records).</p><p></p><h3>Tools and Technologies</h3><p>●&nbsp;&nbsp;&nbsp;<strong>Data Science, ML &amp; Deep Learning:</strong> Python (pandas, scikit-learn, XGBoost, PyTorch, TensorFlow, Keras, Hugging Face).</p><p></p><p>●&nbsp;&nbsp;<strong>BI &amp; Model Visualization (Preferred):</strong> Streamlit, Plotly, Tableau, Power BI.</p><p></p><p>●&nbsp;&nbsp; <strong>Cloud &amp; Infrastructure (Familiarity):</strong> Azure ML, AWS SageMaker, Docker, Git.</p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span>The territory for this region includes Florida, Ohio, Michigan, Indianapolis, Georgia, Alabama, Louisiana, Arkansas, Memphis, and Nashville.</span></p><br><br><br><p><span><b>GSK ONCOLOGY</b></span></p><br><br><p>GSK is a place to build a career in Oncology where purpose, science and growth come together. As a focused, global biopharma company, we unite science, technology, and talent to get ahead of disease together — with a clear ambition to deliver impact for patients at scale.</p><br><br><br><p>For people looking to make a difference, that means joining a company with the capabilities, investment and momentum to translate innovation into meaningful improvements in patient outcomes — and to do it as part of a business entering a sustained period of growth.</p><br><br><br><p>GSK Oncology is building real momentum — advancing a growing portfolio of approved medicines while investing in a pipeline designed to redefine cancer care. Recent progress, including approvals in endometrial cancer and multiple myeloma, alongside targeted business development to expand into areas such as lung cancer, reflects a business that is delivering today while building for the future.</p><br><br><br><p>What sets GSK apart is the combination of scientific depth and culture. With substantial investment in R&amp;D, a broad development pipeline, expertise in genetics and advanced technologies, and a strong partnership model, GSK offers the opportunity to work at the forefront of innovation.</p><br><br><br><p>Just as importantly, GSK is a place where people can thrive. Our culture is grounded in being ambitious for patients, accountable for impact, and committed to doing the right thing — creating an environment where individuals are supported to grow and contribute at their full potential. &nbsp;</p><br><br><br><p>For talent in Oncology, GSK offers the opportunity to be part of a science‑led, high‑growth business — contributing to work that is shaping the future of cancer care and making a meaningful difference for patients.</p><br><br><br><p><span><b>ROLE SUMMARY</b></span></p><br><br><p>As Regional Director, Oncology Strategic Accounts, you will lead a team of regional Strategic Oncology Account Directors who shape and execute GSK’s oncology strategy across health systems, cancer centers, and community oncology accounts. You will be accountable for coaching and developing your team to influence clinical and economic decision makers, ensuring integrated brand, access, and account strategies that deliver market-leading growth.</p><br><br><br><p>You will lead all regional oncology strategic account activities in decision making, account planning, access strategy pull-through, and population-based decision maker engagement. You will initiate, develop, and support the implementation of opportunities for company expansion in oncology, support brand volume and market share targets, demonstrate a strong focus on account and region performance and long-term opportunities.</p><br><br><br><p>This role will give you the opportunity to lead key activities to progress GSK’s oncology industry leadership and your career.</p><br><br><br><p><span><b>KEY RESPONSIBILITIES</b></span></p><br><br><ul><li>Lead, coach, and develop a regional team of Strategic Oncology Account Directors responsible for priority health system cancer centers, national free-standing cancer centers, and organized community oncology customers. You will set clear expectations, provide actionable feedback, and build account leadership skills within your team.</li><li>Support in-field engagement, develop and maintain trusted relationships with key C/D-Suite Population Based Decision Makers (PBDM) across the region’s key academic cancer centers and large community oncology practice networks.</li><li>Direct the Strategic Oncology Account Directors in the development and execution of GSK’s go-to-market model within targeted community oncology, health system accounts, and leading cancer centers across the region, partnering closely with Oncology commercial field teams.</li><li>Partner with cross-functional partners in Market Access, Pricing &amp; Contracting, Medical, oncology business unit and <i>GSK </i>account teams to align account strategies, long-term opportunities, and integrated customer engagement plans that deliver value to sophisticated systems and their patients.</li><li>As appropriate, negotiate and pull through contract agreements aligned to access and customer strategies</li><li>Promote a strategic framework that integrates oncology brand strategy, access, and system-level initiatives to explore and realize business opportunities across aligned accounts.&nbsp;</li><li>Deliver and execute regional strategic plans in close partnership with Oncology Field Leaders to achieve performance goals and objectives, using key performance indicators (KPIs) that reflect both brand performance and account access outcomes (e.g., patient access, formulary status, pathway inclusion, and clinically appropriate use).</li><li>Conduct internal business strategy discussions and business performance reviews routinely with key cross-functional HQ and field leaders to ensure understanding of customers’ business strategies, account priorities and goals and competitive insights.</li><li>Build a strong regional network across US oncology brand teams, Market Access, Medical and other cross-functional partners to ease effective and compliant collaboration through the product launch and lifecycle milestones.</li><li>Ensure the team effectively uses marketing research, market intelligence, clinical messaging, and account insights to inform account strategies for in-line and launch products.</li><li>Build strong connectivity with internal partners involved in developing and deploying account-based campaigns, tools, and resources that support the oncology portfolio across key accounts.</li><li>Ensure the Strategic Oncology Account team adheres to all applicable GSK policies, Write Right principles, and all relevant compliance standards, while implementing innovative, system-focused initiatives.</li></ul><ul><li>Represent GSK at sponsored industry events, with proper planning, execution, and follow-up</li></ul><ul><li>Role-model GSK’s values and expectations, creating an environment of trust, accountability, and continuous development across the Strategic Oncology Account team.</li></ul><br><p><span><b>Basic Qualifications:</b></span></p><br><br><ul><li>Bachelor’s Degree</li><li>3+ years leading / managing a team</li><li>8+ years in pharmaceutical/biotech commercial roles</li><li>4+ years in pharmaceutical/biotech commercial roles working in Oncology</li><li>Account management experience in complex settings (e.g., Academic, IDN Accounts, or Community Provider Networks) at the enterprise (C/D suite) level</li></ul><br><p><span><b>Preferred Qualifications:</b></span></p><br><br><ul><li>Experience in solid tumor and/or hematologic malignancy therapeutic areas</li><li>Familiarity with community oncology practice management, GPO relationships and oncology group purchasing dynamics</li><li>Experience working with oncology care models, value-based contracts, or risk-bearing provider groups</li><li>Prior cross-functional roles in Market Access, Sales Leadership, Medical Affairs, or HEOR</li><li>Demonstrated clinical fluency including the ability to discuss oncology clinical trial data, pathology, biomarker testing, and treatment algorithms with key stakeholders</li><li>Economic acumen including a working knowledge of oncology reimbursement, 340B program, GPO contracting, buy-and-bill, and specialty pharmacy dynamics</li><li>Experience supporting or leading a pharmaceutical oncolytic product launch</li><li>Experience using MS Office Suite, Veeva CRM, and Power BI or equivalent analytics platforms</li></ul><p>#LI-GSK</p><br><br><p>#LI-Remote</p><br><br><p>#GSKCommercial</p><br><br><p><span>#GSKOncology2026 </span></p><br><br>The US annual base salary for new hires in this position ranges from $186,750 to $311,250. The US salary ranges take into account a number of factors including work location within the US market, the candidate’s skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process.<br><p>Please visit&nbsp; <span><u>GSK US Benefits Summary</u></span> to learn more about the comprehensive benefits program GSK offers US employees. </p><br><br><br><br><p><b>Why GSK?</b></p><br><br><p><b>Uniting science, technology and talent to get ahead of disease together.</b></p><br><br><br><p>GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.</p><br><br><br><p>People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.</p><br><br><br><p><span>If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at -&nbsp;</span><span><u>usrecruitment.adjustments@gsk.com</u></span> </p><br><br><br><p>GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.</p><br><br><br><p><b>Important notice to Employment businesses/ Agencies</b></p><br><br><p>GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.</p><br><br><br><p>Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at <span><u>https://openpaymentsdata.cms.gov/</u></span></p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Eva Vet Science is a specialized animal health company and a proud member of the EVA Group, building on the strong legacy of EVA Pharma.<br> We are dedicated to advancing animal health across Egypt, the Middle East, and global markets through the development and delivery of high-quality, innovative veterinary solutions.<br> Job Summary: We are seeking a passionate and talented Vaccine Sales Representative Poultry Line to join our dynamic team.<br> The ideal candidate will contribute to our mission of enhancing animal health and well-being, ensuring that we meet the highest standards of excellence in our industry.<br> key Responsibilities: Achieve assigned sales and market share targets for poultry vaccines.<br> Conduct regular field visits to promote Eva Vet Science vaccine portfolio and educate customers on the benefits and proper use of products.<br> Provide technical support and address customer inquiries to ensure effective product usage and long-term satisfaction.<br> Conduct market research and gather insights from customers to identify opportunities for product enhancement and expansion.<br> Support the launch of new vaccines by delivering product training and ensuring effective market positioning.<br> Utilize CRM tools to track sales performance and customer interactions, ensuring data-driven decision-making.<br> Required Qualifications: Bachelor’s degree in veterinary medicine.<br> 0-3 years of experience in sales, preferably in the Animal Health or vaccine Industry.<br> Strong understanding of animal vaccination protocols and disease prevention strategies.<br></span> </div>

Sales Manager – Dermatology / Aesthetic Devices Location: Cairo, Egypt Employment Type: Permanent Business Unit: Dermatology Sub-Business Unit: Laser Equipment / Energy-Based Devices (EBD) Reports to: Country Manager<br>About the Company Our client is an international healthcare and medical technology group with operations across multiple markets. The company specializes in the distribution and commercial development of high-quality medical and aesthetic solutions, working with international suppliers and leading healthcare professionals. The organization is expanding its presence in Egypt and is looking for an experienced Sales Manager to lead the commercial activities of its Dermatology and Aesthetic Devices business. Role Purpose The Sales Manager will be responsible for developing and delivering sales performance across the assigned market. The role will lead and develop the sales team, establish commercial strategies, expand the customer base, and drive profitable growth. The position will also be responsible for building strong relationships with customers, key opinion leaders, suppliers, and internal stakeholders, while supporting product education and market-development activities.<br>Key Requirements Education Bachelor's degree in Biomedical Engineering, Science, Pharmacy, or a related field. Relevant sales, leadership, or commercial-management certification is an advantage. Experience5–7 years of relevant sales experience, including managerial/team leadership responsibilities. Strong experience in aesthetic devices, laser equipment, or energy-based devices is highly preferred. Candidates from cosmeceuticals, dermatology pharmaceuticals, medical devices, or other high-value healthcare/equipment sectors may also be considered. Proven track record in managing customer and stakeholder relationships. Experience working with international suppliers and premium product portfolios is an advantage.<br>Core Competencies Sales leadership and team management Strategic thinking and market understanding Commercial acumen Sales planning and forecasting Negotiation, persuasion, and deal closing Customer and key-account management Market development and business planning Strong presentation and communication skills Analytical and problem-solving skills Integrity and professionalism Ability to operate effectively within a structured, performance-driven organization<br>Key Responsibilities Develop the annual operating plan, sales forecasts, territory targets, and departmental budget. Lead the sales team to achieve sales, gross profit, collection, and customer-development targets. Develop market, territory, account, and go-to-market strategies to drive profitable growth. Monitor market trends, competition, pipeline development, sales performance, and emerging technologies. Ensure sales forecasts and commercial commitments are achieved across assigned suppliers and product portfolios. Align sales and marketing plans with the Country Manager and relevant business-development stakeholders. Plan and manage congresses, conferences, customer activities, and product-training initiatives within approved budgets. Build and maintain strong relationships with key customers, healthcare professionals, opinion leaders, suppliers, and internal stakeholders.<br>People Management & Team Development Conduct joint field visits to coach and develop sales team members. Assess team capabilities and identify training and development needs. Set clear performance objectives and conduct regular performance reviews. Monitor team performance through CRM, pipeline, sales, and activity reports. Provide regular coaching, feedback, and performance guidance. Build a motivated, accountable, and high-performing sales team. Support succession planning and career development initiatives. Commercial & Operational Responsibilities Maintain accurate pricing, sales, forecasting, activity, and customer records. Monitor pipeline quality, conversion, and sales performance. Control expenses within approved budgets. Ensure effective utilization of company resources. Coordinate technical and sales-development activities with international suppliers and internal training teams. Ensure company policies, procedures, compliance requirements, and ethical standards are consistently followed.<br>Key Performance Indicators (KPIs) Sales achievement versus annual and quarterly targets Gross profit margin versus budget Forecast accuracy and pipeline coverage/conversion New customer acquisition Key-account growth and customer retention Collection performance and overdue receivables Team productivity and target achievement Team capability development and retention Budget and operating-expense management Accuracy and timeliness of CRM and management reporting Achievement of supplier and portfolio commitments<br>Ideal Candidate Profile The ideal candidate is a commercially driven Sales Manager with strong team leadership experience and a proven track record in medical aesthetics, dermatology, medical devices, or a related premium healthcare sector.<br>Candidates with experience managing laser equipment, energy-based devices, aesthetic technologies, or premium medical portfolios, particularly within businesses representing international suppliers, will be strongly preferred. This is a Cairo-based opportunity with an international healthcare/medical technology group and offers the opportunity to lead and grow a specialized Dermatology & Aesthetic Devices business in the Egyptian market.

Description<br><br>Are you a self-starter with a passion for e-commerce, looking to expand your retail skillset and shaping the way the biggest brands work with Amazon?<br><br>Sounds great. What will I be working on?<br><br>As Brand Specialist, you will be part of the Amazon Vendor Services (AVS) team, which provides a suite of services designed to help Amazon's most strategic brands working across all key areas of retail business. You will work with vendors supplying the top brands on Amazon, acting as the main point of contact for them. Your priority will be to work backwards from the customer, identifying inputs to grow your brands and improve their performance. You will do this while facilitating great business relationships and ensuring vendors' satisfaction with the service.<br><br>Key Responsibilities As a Brand Specialist Are<br><br> Own the relationship end-to-end with top brands Partner internally with key retail functions to contribute to the definition of priorities and operational goals according to the brands' needs Partner with our Media Team to ensure best-in-class event execution Define joint business plans and assist in delivering impact for the brands you support directly Regularly audit metrics to continually drive quality of the AVS experience and deliver targets Contribute to continuous enhancement and innovation within the AVS across MENA<br><br>Brand Specialists Work On a Variety Of Tasks For The Brands They Support, Typically Falling Within The Five Focus Areas. These Include But Are Not Limited To<br><br> Business Advice: Providing business advice based on deep financial analysis and reporting, to identify areas of opportunities Selection: Helping grow the selection of products by managing the launch of new products and improving product discoverability Availability: Support driving process improvement and operational excellence within our vendor community by reducing costs, defects, and lead times, while increasing innovation Traffic: Analyzing traffic channels and working on initiatives to generate traffic by supporting the development and execution of marketing and merchandising campaigns Conversion: Planning and executing promotional activities and improving customer journey on Amazon<br><br>Alongside this, you will contribute to improving the efficiency of the service itself. We are constantly working to build scale for this service through the right set of tools and cross-functional collaboration including but not limited to Tech teams.<br><br>This role is available in Dubai, United Arab Emirates<br><br>This role offers 360° exposure to different areas of the industry e-commerce, opening a multitude of career paths.<br><br>Key job responsibilities<br><br> Be the point of brand and category expertise for Amazon Tier 1 Vendors - serving as a trusted business advisor Help by innovating new solutions to complex business challenges Own and manage significant pool of Tier 1 Vendors Developing, selling, implementing, and evaluating business plans to deliver or exceed on the vendor improvement plans Collaborating with multi-functional teams (Marketing, Finance, Supply, Operations, among others) Managing and improving pricing, visibility, and availability for your brands Translate Category Business Plans into tangible action plans Develop productive working relationships with the vendors and create the mutually beneficial value Turn raw data and insights into actionable conclusions Use analytical tools and integrate various data systems to develop new insights Identify opportunities to improve our products, services, processes, systems, and tools Work with different parts of the Amazon business to implement improvement projects, including working with category teams, product teams, and technical support team<br><br>Basic Qualifications<br><br> Bachelor’s degree in business, Science, Engineering fields or Supply Chain with an excellent academic background Between 1 – 4 years of experience in key accounts management, projects management, customer facing roles or commercial roles Excellent analytical, problem solving and negotiating skills Advanced MS Office Skills (Excel proficiency is a must) MNCs experience especially in FMCG/E-commerce/Digital is preferred. English proficiency: Arabic speaking is an advantage<br><br>Preferred Qualifications<br><br> Experience in digital and e-commerce space Brand management of portfolio/regional roles Previous Key Account Management experience is an advantage Experience in process improvement Experience managing large amounts of data Experience using analytical specific tools such as Google Analytics, SQL or HTML<br><br>Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.<br><br><br>Company - Souq.com for E-Commerce LLC<br><br>Job ID: A10444102

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>About Unilever</b><br><span>With 3.4 billion people in over 190 countries using our products every day, Unilever is a business that makes a real impact on the world. Work on brands that are loved and improve the lives of our consumers and the communities around us. We are driven by our purpose: to make sustainable living commonplace, and it is our belief that doing business the right way drives superior performance. At the heart of what we do is our people – we believe that when our people work with purpose, we will create a better business and a better world.</span><br><span>At Unilever, your career will be a unique journey, grounded in our inclusive, collaborative, and flexible working environment. We don’t believe in the ‘one size fits all’ approach and instead we will equip you with the tools you need to shape your own future.</span></p><br><br><br><p><b>Job Purpose</b></p><br><br><p>Ensure that all incoming raw materials and all outgoing packed products meet Unilever standards. Monitor and identify substandard situations / processes in terms of manufacturing hygiene compliance on site. Act as a reference for microbiological and hygienic standards and behavior on site.<br><b>What Will Your Main Responsibilities Be</b><br><b>Product Safety</b><br>· Is responsible for the identification and monitoring of microbiological standards.<br>· Develops and reviews the incoming raw material and outgoing product test regime and monitors the program, recommending corrective action where required.<br>· Tests and releases raw materials to the factory, WIP and finished products based on the successful test results.<br>· Conducts analysis of development samples, packed products and consumer complaint sample and recommends changes to processes.<br>· Validates and verifies effectiveness of cleaning processes and procedures and recommends corrective action where required<br>· Identifies behaviors that will impact microbiologically on raw materials, product or WIP, equipment etc and recommends relevant actions<br>· Coordinate training and awareness of site teams of microbiology, its implications and controls.<br><b>Hygiene</b><br>· Ensures that the manufacturing process is hygienic and microbiologically safe for the production, by monitoring the implementation of appropriate and sustainable hygiene program is in place.<br>· Conducts Hygiene and Food Safety audits and together with the Quality manager and Production team identify suitable corrective action plans.<br>· Ensures that immediate corrective action is implemented in the case of non-conformance and possible risk to product safety.<br>· Conducts hygiene audits of the factory environment, site canteens and ablutions, people and 3rd Party, makes recommendations with respect to changes that need to be made to management or the maintenance department.<br><b>Stock Returns</b><br>· Conduct relevant micro tests trade returns, raw materials, in-process and packed product that may be substandard or over age.<br>· Makes stock return judgement based on the micro safety of the products and recommends the necessary action in line with site and Company policy.<br>· Co-ordinates the paper work and supervises the physical action to ensure the follow through of recommendation<br><b>Other</b><br>· Lead lab analysts and microbiologists in MPC Factory<br>· Co-ordinates and monitors site pest control program (internal and external)<br>· Overall responsibility for running of the Chemical and Micro laboratory.<br>· Provides representation for Microbiology on the HACCP team.<br>· Co-ordinates all investigations into Micro incidents.<br>· Generates reports as and when required to provide consumer safety information to the business/ site<br><b>What You Need To Succeed</b><br><b><span>Experiences &amp; Qualifications</span> </b><br>· Diploma in Chemical Institute - Bachelor of Agriculture - Bachelor of Science<br>· Knowledge of Microsoft Office (Word, excel, PowerPoint and Outlook)<br>· Understanding of HACCP requirements<br><b>Skills</b><br>• Strong Communications skills<br>• Problem solving skills<br>• Managing Conflict<br>• Managing &amp; Leading Change<br>• Knowledge of product packaging and manufacturing processes.<br>• Expert background in chemicals.<br>• Knowledge of quality systems.</p><br><br><br><p><span>Unilever embraces diversity and encourages applicants from all walks of life! This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity.</span></p><br><br><br><br><p><span>Unilever is an organisation committed to equity, inclusion and diversity </span><span>to drive our business results and create a better future, every day, for our diverse employees, global consumers, partners, and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. At Unilever we are interested in every individual bring</span><span>ing </span><span>their ‘Whole Self’ </span><span>to work and this includes you! Thus if you require any support or access requirements, we encourage you to advise us at the time of your application so that we can support you through your recruitment journey. </span></p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b>Overview</b><br><p>Microsoft’s Commerce team is collaborative and interdisciplinary. You will work closely with a diverse team within Microsoft that brings together Applied Scientists, Software Engineers, Data Engineers and Product Managers. By bringing together a unique combination of knowledge and skillsets, as well as cutting edge Technology, we build novel solutions to global online Shopping.&nbsp;</p><br><p>As a <strong>Snr Data &amp; Applied Science Specialist </strong>in AI, and NLP, you will build top-notch models to solve a multitude of tasks core to building and enriching Microsoft Product Catalog. This opportunity will allow you to accelerate your career growth, develop deep problem-solving skills, and collaborate with different teams through active engagement with people from different cultures.&nbsp;</p><br><p>Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.&nbsp;</p><br><br><b>Responsibilities</b><br><ul><li>You will master one or more subareas and gain expertise in a broad area of research, including applicable research techniques. You’ll also gain deep knowledge of a service, platform, or domain, and identify product needs by sharing the latest industry trends and applied technologies.&nbsp;</li><li>You will review business requirements and incorporate research to meet business goals. You‘ll provide strategic direction for the kinds of data used to solve problems and apply deep subject matter knowledge to support business impact.&nbsp;</li><li>You will participate in onboarding of team members and assist in developing academics to be members of multidiscipline teams. You’ll identify new research talent to join Microsoft and collaborate with the academic community to develop the recruiting pipeline.&nbsp;</li><li>&nbsp;You will document work in progress and experimentation results and share findings to promote innovation. You’ll also use your deep understanding of fairness and bias to contribute to ethics and privacy policies related to research processes and data collection.&nbsp;</li></ul><br><b>Qualifications</b><br><p><strong>Required Qualifications:</strong></p><br><ul><li>Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)<ul><li>OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)</li><li>OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)</li><li>OR equivalent experience.</li></ul></li><li>Experience in Maching Learning, Deep Learning and Problem Solving</li></ul><p><br><strong>Preferred Qualifications:</strong></p><br><ul><li>Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)<ul><li>OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)</li><li>OR equivalent experience.</li></ul></li></ul><p><br>#MicrosoftAI&nbsp;</p><br> <br><p>This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><br><br><br><p>Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about <b><u>requesting accommodations.</u></b></p><br> </div>

Join Our Inspiring Team!<br>CIPPO is looking for passionate and experienced English & Science Tutors to provide one-to-one academic support to students in Grades 10, 11, and 12 studying under the American System.<br>The tutor will work individually with one student, either at the student’s school or at home, based on the student’s needs.<br> Location: Sheikh Zayed & 6th of October<br>Key Responsibilities Provide 1:1 English and Science tutoring. Support the student with schoolwork, assignments, and exam preparation. Adapt teaching methods to the student’s individual learning needs. Monitor and report on academic progress. Communicate professionally with parents and CIPPO team.<br>Qualifications Previous experience teaching or tutoring Grades 10, 11, 12 in the American System. Strong knowledge of English and Science subjects. Excellent English communication skills. Patient, supportive, and adaptable.<br><br>If you’re passionate about providing individualized academic support and helping students reach their potential, we’d love to hear from you!

???? ELIXIR & GEORGE GROUP | EST. 2016 ????<br>JOIN OUR ELITE TEAM<br><br>We are expanding! Elixir Pharma is hiring Medical Representatives for GIZA Governorate.<br><br>???? VACANCIES AVAILABLE IN:<br>Faisal & bulaq | Imbaba & mohandesen | Dokki & haram | Giza &Giza centers<br><br>???? KEY RESPONSIBILITIES:<br>• Promote and sell pharmaceutical products to healthcare professionals. • Achieve and exceed sales targets in designated territories. • Provide product demonstrations and education to customers. • Maintain accurate customer records and feedback. <br>???? JOB REQUIREMENTS & BENEFITS:<br>• 2+ years of relevant experience in the same territory. <br>• Excellent communication and negotiation skills. <br>• Science-based degree (Pharmacy, Vet, or Science) preferred. <br>• Competitive Base Salary + Attractive Package. • Transportation Allowance. <br>• Social Insurance & Medical Coverage. <br>• Healthy & Professional Work Environment. <br>???? HOW TO APPLY:<br>Send your resume to: info.elixirpharma@gmail.com or via Whats App to 01204370192<br><br>A message from ELIXIR & GEORGE GROUP<br>Shaping the future of pharma, together.<br><br>#Medical Rep #Pharma Jobs #Giza Jobs #Elixir Pharma #George Group #Hiring Now #Pharmaceutical #Vacancy #Egypt Jobs #Medical Representative

Madinaty Language School is excited to host its Teacher Recruitment Fair on Tuesday July 14. Selected candidates will have the opportunity to meet our academic team, explore career opportunities, and discover what makes our school community unique. Please note that participation is limited to candidates with pre-scheduled interviews.<br><br>How to Apply:<br><br>Click the link to access the application form Upload your updated CVKeep an eye on your phone, we will contact the shortlisted candidates to schedule an interview<br><br>Open Positions:<br><br>Programming Teacher Mathematics Teacher English Teacher Arabic Teacher Science Teacher German Teacher PE Teacher Art Teacher ICT/Computer Science Teacher<br><br>We are excited to learn more about you and look forward to connecting soon!<br><br>Requirements<br><br>Bachelor's degree in a relevant discipline. At least 3 years of proven teaching experience. Excellent proficiency in English Strong classroom management<br><br>Benefits<br><br>Medical Insurance Transportation to a meeting point Tuition fee discount

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking an experienced Data Developer to design, develop, and optimize enterprise data platforms, data warehouses, analytics solutions, and business intelligence applications. The ideal candidate will have expertise in data engineering, database development, reporting, cloud data platforms, and AI-enabled analytics to support enterprise decision-making and digital transformation initiatives.</p><p>Key Responsibilities</p><ul><li>Design, develop, and maintain scalable data pipelines and enterprise data solutions.</li><li>Build and optimize data warehouses, data marts, and analytical data models.</li><li>Develop interactive dashboards, reports, and visualizations for business stakeholders.</li><li>Design, optimize, and maintain relational and cloud-based databases.</li><li>Develop SQL queries, stored procedures, and database objects for high-performance data processing.</li><li>Implement ETL/ELT processes and data integration workflows.</li><li>Collaborate with business analysts, data engineers, architects, and application teams to deliver data-driven solutions.</li><li>Ensure data quality, security, governance, and performance across enterprise platforms.</li><li>Troubleshoot and optimize database performance and reporting solutions.</li><li>Prepare technical documentation and follow enterprise data management best practices.</li></ul><p>Must-Have Skills</p><ul><li>Experience with Snowflake or comparable cloud data warehouse platforms.</li><li>Experience with Power BI OR Tableau for business intelligence and data visualization.</li><li>Strong experience with PostgreSQL OR Microsoft SQL Server .</li><li>Experience with Redis or comparable in-memory caching technologies.</li><li>Experience with Dataiku DSS OR Vertex AI for advanced analytics, AI, and data science workflows.</li><li>Strong knowledge of SQL , database design, and query optimization.</li><li>Experience developing ETL/ELT pipelines and enterprise data integration solutions.</li><li>Strong understanding of data modeling, data warehousing, and analytics concepts.</li></ul><p>Good to Have</p><ul><li>Experience with Azure Synapse OR Google BigQuery OR Amazon Redshift .</li><li>Experience with Databricks OR Apache Spark .</li><li>Experience with Apache Airflow OR Azure Data Factory OR dbt .</li><li>Knowledge of Python for data engineering and automation.</li><li>Experience with Git , CI/CD pipelines, and DevOps practices.</li><li>Understanding of data governance, metadata management, and data quality frameworks.</li><li>Experience with cloud platforms such as Microsoft Azure , AWS , or Google Cloud Platform (GCP) .</li></ul><p>Qualifications</p><ul><li>Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, Data Science, Software Engineering, or a related field.</li><li>3 12+ years of experience in data engineering, database development, business intelligence, or enterprise data platform development.</li></ul><p>Preferred Skills</p><ul><li>Experience designing enterprise data warehouse and analytics architectures.</li><li>Experience delivering cloud-based data modernization and digital transformation projects.</li><li>Strong analytical and problem-solving skills.</li><li>Experience working in Agile/Scrum environments.</li><li>Excellent communication, documentation, and stakeholder management skills.</li><li>Ability to optimize data platforms for scalability, reliability, and performance.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, Data Science, Software Engineering, or a related field.</li><li>3 12+ years of experience in data engineering, database development, business intelligence, or enterprise data platform development.</li><li>Experience designing enterprise data warehouse and analytics architectures.</li><li>Experience delivering cloud-based data modernization and digital transformation projects.</li><li>Strong analytical and problem-solving skills.</li><li>Experience working in Agile/Scrum environments.</li><li>Excellent communication, documentation, and stakeholder management skills.</li><li>Ability to optimize data platforms for scalability, reliability, and performance.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About us Infomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence.<br> We’ve evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise.<br> We offer 3 services to our global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights and Resource Scaling.<br> This is made possible by relying on 3 pillars of excellence: 350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona).<br> Our proprietary AI orchestrator.<br> Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions.<br> Ready to kick start your career with us?<br> Why Infomineo?<br> Here’s what sets us apart: Shape the Future of Business Insights: You will be at the forefront, leading the design and implementation of AI-driven solutions that automate tasks and drive efficiency across our entire service spectrum (Business Research, Content, Design, and Data Analytics).<br> Work with Global Leaders: Our clients are industry leaders — Fortune 500s, top consultancies, governments, and NGOs.<br> You will take ownership of delivering technical solutions that directly support their success.<br> Lead in AI &amp; Technology: We foster continuous learning and technical excellence.<br> You will stay ahead of the latest advancements in AI and software engineering, and actively drive innovation across the team.<br> Thrive in a Collaborative Culture: We value intellectual curiosity, leadership, and a can-do attitude.<br> You will be encouraged to mentor others, contribute strategic ideas, and make a lasting impact on the company’s growth.<br> About this role: We are seeking an experienced and technically strong individual to join us as Senior AI Software Engineer.<br> In this role, you will take ownership of designing, developing, and deploying AI-powered data products and analytical applications that serve our internal teams and global clients.<br> You will lead data science and AI initiatives, define best practices for applied AI and analytical solution development, and collaborate closely with engineering, product, and business stakeholders.<br> While the role is primarily data science and AI-focused, you will also leverage your full-stack development background to build production-ready applications, integrate AI capabilities, and support cloud-based deployment.<br> Key Responsibilities: Data Science, AI &amp; Applied R&amp;D: Lead the design and development of AI-powered analytical solutions, data products, and intelligent applications that solve complex business problems.<br> Translate business and client requirements into data science approaches, AI workflows, and scalable technical solutions.<br> Design, prototype, and productionize machine learning, LLM, and generative AI solutions with a focus on business value, reliability, and usability.<br> Own the architecture of Retrieval-Augmented Generation (RAG) pipelines, including document processing, vectorization, semantic search, evaluation, and query optimization for enterprise use cases.<br> Design and implement complex AI-powered features by integrating LLM APIs and services using frameworks such as LangChain or equivalent, with a focus on reliability, accuracy, and performance in production.<br> Design, implement, and maintain Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and data sources, enabling context-aware and extensible AI solutions.<br> Develop evaluation frameworks, monitoring approaches, and observability practices for LLM-powered systems to ensure quality, transparency, and continuous improvement.<br> Apply advanced prompt engineering, embedding strategies, and vector database management techniques to improve the performance of AI solutions.<br> Integrate AI outputs into analytical workflows, dashboards, reporting tools, and client delivery pipelines.<br> Full-Stack Application Development: Design and contribute to the development of production-grade AI and data applications, primarily using Python and backend frameworks such as FastAPI.<br> Build or support frontend interfaces using modern frameworks such as React, Next.<br>js, or Vue to make AI and data products accessible to business users and clients.<br> Collaborate with software engineers to define scalable application architectures, API standards, and integration patterns.<br> Develop and maintain REST API integrations with third-party AI services, enterprise SaaS platforms, internal tools, and external data sources.<br> Ensure that data science prototypes are translated into maintainable, secure, and scalable production solutions.<br> Participate in code reviews, define technical best practices, and contribute to a high-quality engineering and data science culture.<br> Cloud, Deployment &amp; MLOps: Support the containerization and cloud deployment of AI and data applications, preferably on Google Cloud Platform using GKE and Artifact Registry, while remaining adaptable to other cloud environments.<br> Design and maintain CI/CD pipelines using GitHub Actions or equivalent tools to ensure reliable and repeatable releases.<br> Apply MLOps and LLMOps practices to manage experimentation, deployment, monitoring, and continuous improvement of AI systems.<br> Collaborate with engineering and infrastructure teams to ensure the reliability, scalability, and performance of production environments.<br> Proactively identify performance bottlenecks in AI workflows, data pipelines, application layers, and infrastructure.<br> Technical Leadership &amp; Collaboration: Lead applied AI and data science initiatives from discovery and prototyping through production deployment.<br> Mentor junior data scientists, AI engineers, and developers on data science methods, AI integration, coding practices, and production readiness.<br> Work closely with product teams, consultants, analysts, and non-technical stakeholders to ensure solutions are aligned with business needs.<br> Define standards and best practices for AI solution design, evaluation, documentation, and delivery.<br> Communicate complex technical concepts clearly to both technical and non-technical audiences.<br> Qualifications: 4 to 6 years of experience in data science, AI development, applied machine learning, or related technical roles, with hands-on experience delivering production-grade AI or data products.<br> Strong proficiency in Python, with experience using data science, machine learning, and AI libraries and frameworks.<br> Solid full-stack development background, including experience with backend frameworks such as FastAPI and modern frontend frameworks such as React, Next.<br>js, or Vue.<br> Deep understanding of LLMs, RAG architectures, generative AI workflows, and production-grade AI service integration, including tools such as OpenAI, Gemini, LangChain, or equivalent.<br> Proven experience designing and implementing Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and enterprise data sources.<br> Experience building analytical workflows, dashboards, data pipelines, or AI-powered decision-support tools in a client delivery or enterprise context.<br> Hands-on experience with Docker and cloud deployment on at least one major cloud platform such as GCP, AWS, Azure, or equivalent.<br> Familiarity with container orchestration, artifact management, CI/CD pipelines, GitHub Actions, GitOps workflows, and branching strategies.<br> Strong understanding of LLM observability, AI evaluation, performance monitoring, and production reliability practices.<br> Demonstrated ability to lead technical initiatives, mentor junior team members, and collaborate effectively with product teams and business stakeholders.<br> Bachelor’s or Master’s degree in Data Science, Computer Science, Software Engineering, Statistics, Applied Mathematics, or a related field.<br> Preferred Skills: Experience with agentic AI frameworks such as LangGraph or similar orchestration tools for building multi-step AI workflows.<br> Knowledge of advanced prompt engineering, vector database management, embedding model optimization, and AI evaluation techniques.<br> Experience with MLOps or LLMOps practices, including experiment tracking, model monitoring, and AI quality evaluation.<br> Experience with Infrastructure as Code tools such as Terraform or Pulumi.<br> Experience designing data models, analytical pipelines, or BI/dashboard solutions.<br> Relevant certifications such as Google Cloud Professional Data Engineer, Google Cloud Professional Machine Learning Engineer, Google Cloud Professional Developer, or similar cloud and AI credentials.<br> What we offer: A competitive compensation and benefits package.<br> The opportunity to lead AI, data science, and technology initiatives with real global impact.<br> A dynamic and supportive work environment that values leadership, innovation, and your contributions.<br> Continuous learning and professional development opportunities to propel your career forward in AI, data science, and technology.<br> Application Process: Candidates are invited to submit a resume, cover letter, and any relevant portfolio, GitHub links, or project examples showcasing their experience in data science, AI solution development, full-stack application development, and cloud deployment.<br> Shortlisted candidates will undergo a technical assessment and interview to demonstrate their data science expertise, AI implementation skills, full-stack capabilities, and technical leadership potential.<br> Infomineo: Where brilliant minds meet to shape the future of business.<br></span> </div>

Our Company<br><br>Teradata is the connected multi-cloud data platform for enterprise analytics company. Our enterprise analytics solve business challenges from start to scale. Only Teradata gives you the flexibility to handle the massive and mixed data workloads of the future, today. <br><br>The Teradata Vantage architecture is cloud native, delivered as-a-service, and built on an open ecosystem. These design features make Vantage the ideal platform to optimize price performance in a multi-cloud environment. <br><br>What You’ll Do<br><br>What the role is about:  As a Principal/Staff Data Scientist at Teradata, you will serve as a senior individual contributor responsible for defining analytical approaches, scoping complex data science projects, and delivering high-impact solutions across multiple industries. You will tackle highly complex and ambiguous problems, architect end-to-end data science workflows, and provide deep technical guidance to cross-functional teams—without direct people management responsibilities. What impact this role has:  Your expertise will shape the technical direction of data science initiatives, influence solution design across teams, and help internal and external stakeholders make well-informed decisions. By leveraging advanced modeling, statistical rigor, and deep domain insight, you will ensure that Teradata delivers scalable, high-quality analytical solutions that drive measurable business value for our clients. What success might look like:  Success in this role means independently leading the most challenging parts of data science engagements, producing reliable and scalable solutions, and serving as a trusted technical advisor to product managers, engineers, and business stakeholders. You will be recognized for your ability to translate complex business problems into well-scoped analytical strategies, and for consistently raising the technical bar across the team. <br><br>Who You’ll Work With<br><br>An outline of the team:  You will be part of a collaborative and dynamic data science team that works closely with data engineers, project managers, solution architects, and business stakeholders. You will contribute as a high-level technical expert, helping teams navigate complexity and ensuring that analytical solutions are sound, scalable, and aligned with business needs. The role and the team play at Teradata:  The data science team at Teradata plays a crucial role in transforming data into strategic assets. As a Principal/Staff Data Scientist, you will influence the technical direction of projects, contribute reusable methodologies, and help shape best practices for developing advanced analytical solutions across multiple engagements. Who the position reports to: This position reports to the Data Science Team Manager. <br><br>What Makes You a Qualified Candidate<br><br>Non-negotiable qualifications:<br><br>Minimum of 8 years of experience in data science, machine learning, or applied analytics. Expertise in programming languages such as Python and SQL. Strong understanding of advanced statistical methods, machine learning, deep learning, and Gen AI techniques. Proven ability to scope, architect, and technically lead complex data science projects without direct management responsibilities. Excellent communication and presentation skills, with the ability to engage both technical and non-technical audiences. <br><br>What You’ll Bring<br><br>Advanced Data Analysis and Modeling: Perform highly complex data analysis and build sophisticated predictive and prescriptive models using advanced statistical, machine learning, and deep learning techniques. Technical Leadership: Define analytical approaches, scope data science components in partnership with PMs, and lead the technical direction of projects across multiple industries. Cross-Functional Collaboration: Work closely with data engineers, product managers, and business stakeholders to align on requirements, solution direction, and implementation plans. Data Exploration: Explore large and diverse datasets to uncover insights, evaluate feasibility, and guide model and feature design. Model Deployment: Collaborate with engineering teams to implement, optimize, and maintain machine learning models in production environments, ensuring scalability, performance, and reliability. Mentorship: Provide informal technical mentoring, conduct deep code/model reviews, and guide other data scientists in best practices—without direct people management. Communication: Present complex findings, trade-offs, and solution paths to technical teams, business partners, and customer stakeholders in a clear and concise manner. Continuous Improvement: Stay current with emerging data science, machine learning, and Gen AI advancements, applying new techniques to enhance solution quality and accelerate delivery. <br><br><br><br>Why We Think You’ll Love Teradata<br><br>We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.<br><br>Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.

About Us<br><br>Infomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence. We've evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise. We offer 3 services to our global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights and Resource Scaling. This is made possible by relying on 3 pillars of excellence:<br><br>350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona) Our proprietary AI orchestrator Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions<br><br>Ready to kick start your career with us?<br><br>Why Infomineo? Here's what sets us apart:<br><br>Shape the Future of Business Insights: You will be at the forefront, leading the design and implementation of AI-driven solutions that automate tasks and drive efficiency across our entire service spectrum (Business Research, Content, Design, and Data Analytics) Work with Global Leaders: Our clients are industry leaders — Fortune 500s, top consultancies, governments, and NGOs. You will take ownership of delivering technical solutions that directly support their success Lead in AI & Technology: We foster continuous learning and technical excellence. You will stay ahead of the latest advancements in AI and software engineering, and actively drive innovation across the team Thrive in a Collaborative Culture: We value intellectual curiosity, leadership, and a can-do attitude. You will be encouraged to mentor others, contribute strategic ideas, and make a lasting impact on the company's growth<br><br>About this role:<br><br>We are seeking an experienced and technically strong individual to join us as Senior AI Software Engineer. In this role, you will take ownership of designing, developing, and deploying AI-powered data products and analytical applications that serve our internal teams and global clients. You will lead data science and AI initiatives, define best practices for applied AI and analytical solution development, and collaborate closely with engineering, product, and business stakeholders. While the role is primarily data science and AI-focused, you will also leverage your full-stack development background to build production-ready applications, integrate AI capabilities, and support cloud-based deployment.<br><br>Key Responsibilities:<br><br>Data Science, AI & Applied R&D:<br><br>Lead the design and development of AI-powered analytical solutions, data products, and intelligent applications that solve complex business problems Translate business and client requirements into data science approaches, AI workflows, and scalable technical solutions Design, prototype, and productionize machine learning, LLM, and generative AI solutions with a focus on business value, reliability, and usability Own the architecture of Retrieval-Augmented Generation (RAG) pipelines, including document processing, vectorization, semantic search, evaluation, and query optimization for enterprise use cases Design and implement complex AI-powered features by integrating LLM APIs and services using frameworks such as Lang Chain or equivalent, with a focus on reliability, accuracy, and performance in production Design, implement, and maintain Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and data sources, enabling context-aware and extensible AI solutions Develop evaluation frameworks, monitoring approaches, and observability practices for LLM-powered systems to ensure quality, transparency, and continuous improvement Apply advanced prompt engineering, embedding strategies, and vector database management techniques to improve the performance of AI solutions Integrate AI outputs into analytical workflows, dashboards, reporting tools, and client delivery pipelines<br><br>Full-Stack Application Development:<br><br>Design and contribute to the development of production-grade AI and data applications, primarily using Python and backend frameworks such as Fast APIBuild or support frontend interfaces using modern frameworks such as React, Next.js, or Vue to make AI and data products accessible to business users and clients Collaborate with software engineers to define scalable application architectures, API standards, and integration patterns Develop and maintain REST API integrations with third-party AI services, enterprise Saa S platforms, internal tools, and external data sources Ensure that data science prototypes are translated into maintainable, secure, and scalable production solutions Participate in code reviews, define technical best practices, and contribute to a high-quality engineering and data science culture<br><br>Cloud, Deployment & MLOps:<br><br>Support the containerization and cloud deployment of AI and data applications, preferably on Google Cloud Platform using GKE and Artifact Registry, while remaining adaptable to other cloud environments Design and maintain CI/CD pipelines using Git Hub Actions or equivalent tools to ensure reliable and repeatable releases Apply MLOps and LLMOps practices to manage experimentation, deployment, monitoring, and continuous improvement of AI systems Collaborate with engineering and infrastructure teams to ensure the reliability, scalability, and performance of production environments Proactively identify performance bottlenecks in AI workflows, data pipelines, application layers, and infrastructure Technical Leadership & Collaboration:Lead applied AI and data science initiatives from discovery and prototyping through production deployment Mentor junior data scientists, AI engineers, and developers on data science methods, AI integration, coding practices, and production readiness Work closely with product teams, consultants, analysts, and non-technical stakeholders to ensure solutions are aligned with business needs Define standards and best practices for AI solution design, evaluation, documentation, and delivery Communicate complex technical concepts clearly to both technical and non-technical audiences<br><br>Qualifications:<br><br>4 to 6 years of experience in data science, AI development, applied machine learning, or related technical roles, with hands-on experience delivering production-grade AI or data products Strong proficiency in Python, with experience using data science, machine learning, and AI libraries and frameworks Solid full-stack development background, including experience with backend frameworks such as Fast API and modern frontend frameworks such as React, Next.js, or Vue Deep understanding of LLMs, RAG architectures, generative AI workflows, and production-grade AI service integration, including tools such as Open AI, Gemini, Lang Chain, or equivalent Proven experience designing and implementing Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and enterprise data sources Experience building analytical workflows, dashboards, data pipelines, or AI-powered decision-support tools in a client delivery or enterprise context Hands-on experience with Docker and cloud deployment on at least one major cloud platform such as GCP, AWS, Azure, or equivalent Familiarity with container orchestration, artifact management, CI/CD pipelines, Git Hub Actions, Git Ops workflows, and branching strategies Strong understanding of LLM observability, AI evaluation, performance monitoring, and production reliability practices Demonstrated ability to lead technical initiatives, mentor junior team members, and collaborate effectively with product teams and business stakeholders Bachelor's or Master's degree in Data Science, Computer Science, Software Engineering, Statistics, Applied Mathematics, or a related field<br><br>Preferred Skills:<br><br>Experience with agentic AI frameworks such as Lang Graph or similar orchestration tools for building multi-step AI workflows Knowledge of advanced prompt engineering, vector database management, embedding model optimization, and AI evaluation techniques Experience with MLOps or LLMOps practices, including experiment tracking, model monitoring, and AI quality evaluation Experience with Infrastructure as Code tools such as Terraform or Pulumi Experience designing data models, analytical pipelines, or BI/dashboard solutions Relevant certifications such as Google Cloud Professional Data Engineer, Google Cloud Professional Machine Learning Engineer, Google Cloud Professional Developer, or similar cloud and AI credentials<br><br>What we offer:<br><br>A competitive compensation and benefits package The opportunity to lead AI, data science, and technology initiatives with real global impact A dynamic and supportive work environment that values leadership, innovation, and your contributions Continuous learning and professional development opportunities to propel your career forward in AI, data science, and technology<br><br>Application Process:<br><br>Candidates are invited to submit a resume, cover letter, and any relevant portfolio, Git Hub links, or project examples showcasing their experience in data science, AI solution development, full-stack application development, and cloud deployment. Shortlisted candidates will undergo a technical assessment and interview to demonstrate their data science expertise, AI implementation skills, full-stack capabilities, and technical leadership potential.<br><br>Infomineo: Where brilliant minds meet to shape the future of business.