Machine operator Jobs

We are hiring a Senior Sales Engineer for our Machine Tools Division.<br>Join one of Egypt’s leading industrial companies and work with internationally recognized machine tool brands such as HACO, ZMM, AZ, and other top manufacturers represented by EEA.<br>You will be responsible for developing sales opportunities across a wide range of machine tools including lathes, sheet metal machines, drilling and boring machines, grinding machines, and milling machines.<br>What you will do:Develop and maintain strong relationships with industrial clients across Egypt Identify new business opportunities and expand the customer base Prepare technical and commercial proposals Follow projects from quotation stage until delivery and commissioning Coordinate with suppliers, technical teams, and after-sales support Promote EEA’s portfolio of premium machine tool brands Achieve sales targets and contribute to the division’s growth<br>Requirements:Minimum 3 years of experience in machine tools sales Strong experience selling machines such as lathes, sheet metal machines, milling machines, grinding machines, CNC machines, or similar industrial equipment Bachelor’s degree in Mechanical Engineering or relevant field Good technical and commercial understanding Fluent in Arabic and good command of English Own car preferred for client visits<br>What we offer:Competitive salary and attractive commissions Private health insurance Car allowance Opportunity to work with leading international machine tool brands Strong growth potential within EEA<br>EEA has been a trusted name in Egypt’s industrial market for more than 85 years, representing leading international industrial brands and delivering high-quality engineering solutions across multiple industries.on skills

<p>The Manufacturing Operator will be responsible for operating various manufacturing equipment and ensuring the smooth running of production lines. This role involves adhering to strict quality and safety standards, including Good Manufacturing Practices (GMP) and Health, Safety, and Environment (HSE) regulations. Key responsibilities include setting up and operating machinery, monitoring production processes, performing quality checks, and troubleshooting minor issues. The operator will also be involved in material handling, cleaning of equipment and work areas, and maintaining accurate production records. This position requires a proactive approach to problem-solving and a commitment to continuous improvement. The operator will work closely with the production team to achieve daily targets and ensure compliance with all operational procedures and Standard Operating Procedures (SOPs). Duties will also include participating in continuous improvement initiatives and implementing corrective and preventive actions (CAPA) as needed. Line clearance activities and adherence to HSE guidelines, including the correct use of Personal Protective Equipment (PPE), are critical. The role demands a strong attention to detail and the ability to work effectively in a fast-paced manufacturing environment, with a minimum of 5 years of experience in a similar role preferred. A commitment to GMP standards and a willingness to learn and adapt to new processes are essential.</p><p><strong>Desired Candidate Profile</strong></p><p>The ideal candidate will have a strong understanding of manufacturing processes and equipment operation. Experience with Good Manufacturing Practices (GMP) and Health, Safety, and Environment (HSE) regulations is essential. The ability to follow Standard Operating Procedures (SOPs) and maintain accurate records is required. Strong problem-solving skills and attention to detail are necessary. Experience with continuous improvement initiatives and CAPA is a plus. A minimum of 5 years of experience in a manufacturing operator role is preferred. The candidate should be physically fit and able to perform the duties of the role, including the use of PPE.</p>

<p><b>Equipment Operator</b></p><p><br></p><p>We're looking for an experienced Equipment Operator for cement block production line operations and maintenance.</p>

<p><h4>Who we are</h4> <p>VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through talent, technology & transformation.</p> <p>As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and third party capability.</p> <p>We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.</p> <h4>About this role</h4> <p>We are seeking a voice core network engineer to design and deliver voice core, IMS and next-generation voice network solutions that support business and customer requirements. The role involves collaborating with multiple technology and business stakeholders, supporting solution design and implementation, analysing performance indicators, configuring core network platforms, and delivering virtual infrastructure lifecycle management activities. The successful candidate will contribute to the evolution of voice network services while ensuring reliable, scalable and high-quality solutions.</p> <h4>What you’ll do</h4> <li>Design voice core, IMS and next-generation voice network solutions aligned with business requirements and technology strategy.</li> <li>Develop solution designs and implementation procedures for voice network services and platforms.</li> <li>Perform laboratory and live testing activities, validate deployments and provide troubleshooting support to ensure service reliability.</li> <li>Collaborate with business, technology and operational stakeholders throughout the solution design and implementation lifecycle.</li> <li>Deliver virtual infrastructure engineering activities across telecommunications network platforms.</li> <li>Support performance analysis and provide insights that contribute to effective technical decision-making.</li> <h4>Who you are</h4> <li>A graduate in electronics engineering, telecommunications engineering, or a related discipline.</li> <li>Experienced in voice core CS and IMS mobile network environments, preferably within a telecommunications operator environment.</li> <li>Skilled in the configuration and integration of voice core and IMS network platforms and solutions.</li> <li>Experienced in analysing, creating and interpreting high-level and low-level technical designs.</li> <li>Knowledgeable in voice network protocols, call flows and telecommunications products.</li> <li>Familiar with virtualisation concepts, practices and infrastructure environments.</li> <li>Able to work effectively with cross-functional stakeholders across international teams.</li> <li>Demonstrates strong analytical thinking, problem-solving and communication skills.</li> <h4>Not a perfect fit?</h4> <p>Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.</p> <h4>What's in it for you</h4> <li>Opportunity to work on advanced voice core, IMS and next-generation network technologies.</li> <li>Exposure to international stakeholders and Vodafone markets across multiple countries.</li> <li>Experience contributing to major network transformation, enhancement and upgrade programmes.</li> <li>Involvement in both solution design and end-to-end delivery activities within a complex telecommunications environment.</li> <h4>What skills you will learn</h4> <li>Voice core and IMS solution design methodologies.</li> <li>Voice network implementation, testing and troubleshooting practices.</li> <li>Virtualised telecommunications infrastructure delivery and lifecycle management.</li> <li>Stakeholder management and collaboration across global technology teams.</li> <li>Performance analysis and technical decision-support techniques.</li> <h4>VOIS equal opportunity employer commitment</h4> <p>Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.</p> <h4>Join us</h4> <p>At Vodafone, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.</p> <p>We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.</p> <p>With us, you can truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.</p> <h4>Alert</h4> <p>Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud.</p></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><b>Who we are</b> <br></span><p>VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology &amp; Transformation. <br>As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability. <br>We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal. <br>#VOIS #BeUnrivalled #CreateTheFuture</p><br><br><br><b>About this Role</b> <br>We are seeking a Voice Core Network Engineer to design and deliver Voice Core, IMS and next-generation voice network solutions that support business and customer requirements. The role involves collaborating with multiple technology and business stakeholders, supporting solution design and implementation, analysing performance indicators, configuring core network platforms, and delivering virtual infrastructure lifecycle management activities. The successful candidate will contribute to the evolution of voice network services while ensuring reliable, scalable and high-quality solutions.<br><br><br><b>What you’ll do</b> <br><ul> <li>Design Voice Core, IMS and next-generation voice network solutions aligned with business requirements and technology strategy.</li> <li>Develop solution designs and implementation procedures for voice network services and platforms.</li> <li>Perform laboratory and live testing activities, validate deployments and provide troubleshooting support to ensure service reliability.</li> <li>Collaborate with business, technology and operational stakeholders throughout the solution design and implementation lifecycle.</li> <li>Deliver virtual infrastructure engineering activities across telecommunications network platforms.</li> <li>Support performance analysis and provide insights that contribute to effective technical decision-making.</li> </ul> <br><br><b>Who you are</b> <br><ul> <li>A graduate in Electronics Engineering, Telecommunications Engineering, or a related discipline.</li> <li>Experienced in Voice Core CS and IMS mobile network environments, preferably within a telecommunications operator environment.</li> <li>Skilled in the configuration and integration of Voice Core and IMS network platforms and solutions.</li> <li>Experienced in analysing, creating and interpreting high-level and low-level technical designs.</li> <li>Knowledgeable in voice network protocols, call flows and telecommunications products.</li> <li>Familiar with virtualisation concepts, practices and infrastructure environments.</li> <li>Able to work effectively with cross-functional stakeholders across international teams.</li> <li>Demonstrates strong analytical thinking, problem-solving and communication skills.</li> </ul><br><br><b>Not a perfect fit?</b> <br><p>Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.</p><br><br><br><b>What's in it for you</b> <br><ul> <li>Opportunity to work on advanced Voice Core, IMS and next-generation network technologies.</li> <li>Exposure to international stakeholders and Vodafone markets across multiple countries.</li> <li>Experience contributing to major network transformation, enhancement and upgrade programmes.</li> <li>Involvement in both solution design and end-to-end delivery activities within a complex telecommunications environment.</li> </ul><br><br><b>What skills you will learn</b> <br><ul> <li>Voice Core and IMS solution design methodologies.</li> <li>Voice network implementation, testing and troubleshooting practices.</li> <li>Virtualised telecommunications infrastructure delivery and lifecycle management.</li> <li>Stakeholder management and collaboration across global technology teams.</li> <li>Performance analysis and technical decision-support techniques.</li> </ul><br><br><b>VOIS Equal Opportunity Employer Commitment</b> <br><p>Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.&nbsp;</p><br><br><br><b>Join Us</b> <br><p>At Vodafone, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this. <br>We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together. <br>With us, you can truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.</p><br><br><br><b>Alert </b> <br><p>Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud. <br>#JDEnhancedByTARA</p><br><br><br><b>Follow us on social media and #StayConnected</b> <br><ul> <li>LinkedIn: VOIS on LinkedIn</li> <li>Facebook: VOIS on Facebook</li> <li>Instagram: VOIS on Instagram</li> <li>You can also chat with our employees to learn more about our projects: Learn more about our projects</li> </ul><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Leverage your expertise and join the dynamic team of a<span>leading industry provider of electronic component data and parts management software in the electronics industry. They have been the go-to partner for thousands of electronic engineers, supply chain leaders, and procurement experts across Fortune 500 companies.</span></p><br><p><strong>As Technical Lead ML &amp;amp; AI,</strong>you will lead the implementation of advanced AI systems throughout the complete machine learning lifecycle, including data preparation, model development, experimentation, deployment, monitoring, and continuous optimization. Your expertise will span machine learning, deep learning, neural networks, generative AI, intelligent automation, and large language models.</p><br><strong>Key Accountabilities</strong><ul><li><ul><li>Lead the technical implementation of AI and machine learning initiatives aligned with the organization's AI strategy and roadmap.</li><li>Translate product and AI leadership vision into scalable technical solutions.</li><li>Drive engineering best practices, code quality, documentation, and software design across AI projects.</li><li>Collaborate with AI leadership, product managers, software engineers, and data engineers to successfully deliver AI-powered products.</li><li>Design, develop, and optimize machine learning, deep learning, and neural network models for real-world business applications.</li><li>Build predictive models, recommendation systems, forecasting models, anomaly detection solutions, classification systems, and intelligent automation workflows.</li><li>Fine-tune transformer models and other deep learning architectures using modern training techniques.</li><li>Develop applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, semantic search, embeddings, and prompt engineering.</li><li>Build intelligent workflows integrating LLMs with enterprise systems, vector databases, and external tools.</li><li>Evaluate new AI technologies and recommend practical adoption opportunities.</li><li>Deploy and maintain AI models in production environments.</li><li>Ensure AI systems are reliable, secure, efficient, and maintainable.</li><li>Mentor AI engineers and junior machine learning engineers through technical guidance, code reviews, and knowledge sharing.</li><li>Promote engineering excellence, continuous learning, and adoption of modern AI development practices.</li><li>Support technical interviews and onboarding of new team members.</li><li>Stay current with emerging developments in artificial intelligence, machine learning, deep learning, and generative AI.</li></ul></li></ul><strong>Knowledge, Skills, and Experience</strong><p><strong>We are looking for:</strong></p><br><ul><li><strong>6+ years of experience developing and deploying production</strong> AI and machine learning solutions.</li><li>Demonstrated experience leading the technical implementation of AI/ML projects.</li><li>Deep hands-on experience developing and implementing machine learning solutions.</li><li>Recent experience, within the last 2 years, taking at least one machine learning project from development through production deployment.</li><li>Experience supervising, reviewing, or providing technical guidance on the work and code of colleagues, junior engineers, or other technical team members.</li><li>Strong proficiency in Python and data science libraries including NumPy, pandas, scikit-learn, and related tools.</li><li>Strong understanding of statistics, machine learning algorithms, feature engineering, and model evaluation.</li><li>Strong knowledge of neural networks, transformer architectures, and modern deep learning techniques.</li><li>Experience building applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and prompt engineering.</li><li>Experience with NLP, document intelligence, semantic search, embeddings, information extraction, and named entity recognition.</li></ul><p><strong>Preferred Qualifications</strong></p><br><ul><li>Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field is preferred.</li><li>Experience deploying AI services using cloud platforms and modern software engineering practices.</li><li>Familiarity with vector databases, search technologies, and MLOps practices.</li></ul> </div>

<p>Leverage your expertise and join the dynamic team of a leading industry provider of electronic component data and parts management software in the electronics industry. They have been the go-to partner for thousands of electronic engineers, supply chain leaders, and procurement experts across Fortune 500 companies. As Technical Lead ML &amp; AI, you will lead the implementation of advanced AI systems throughout the complete machine learning lifecycle, including data preparation, model development, experimentation, deployment, monitoring, and continuous optimization. Your expertise will span machine learning, deep learning, neural networks, generative AI, intelligent automation, and large language models.</p><p><strong>Key Accountabilities</strong></p><ul><li>Lead the technical implementation of AI and machine learning initiatives aligned with the organization's AI strategy and roadmap.</li><li>Translate product and AI leadership vision into scalable technical solutions.</li><li>Drive engineering best practices, code quality, documentation, and software design across AI projects.</li><li>Collaborate with AI leadership, product managers, software engineers, and data engineers to successfully deliver AI-powered products.</li><li>Design, develop, and optimize machine learning, deep learning, and neural network models for real-world business applications.</li><li>Build predictive models, recommendation systems, forecasting models, anomaly detection solutions, classification systems, and intelligent automation workflows.</li><li>Fine-tune transformer models and other deep learning architectures using modern training techniques.</li><li>Develop applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, semantic search, embeddings, and prompt engineering.</li><li>Build intelligent workflows integrating LLMs with enterprise systems, vector databases, and external tools.</li><li>Evaluate new AI technologies and recommend practical adoption opportunities.</li><li>Deploy and maintain AI models in production environments.</li><li>Ensure AI systems are reliable, secure, efficient, and maintainable.</li><li>Mentor AI engineers and junior machine learning engineers through technical guidance, code reviews, and knowledge sharing.</li><li>Promote engineering excellence, continuous learning, and adoption of modern AI development practices.</li><li>Support technical interviews and onboarding of new team members.</li><li>Stay current with emerging developments in artificial intelligence, machine learning, deep learning, and generative AI.</li></ul><p><strong>Knowledge, Skills, and Experience</strong></p><p>We are looking for:</p><ul><li>6+ years of experience developing and deploying production AI and machine learning solutions.</li><li>Demonstrated experience leading the technical implementation of AI/ML projects.</li><li>Deep hands-on experience developing and implementing machine learning solutions.</li><li>Recent experience, within the last 2 years, taking at least one machine learning project from development through production deployment.</li><li>Experience supervising, reviewing, or providing technical guidance on the work and code of colleagues, junior engineers, or other technical team members.</li><li>Strong proficiency in Python and data science libraries including NumPy, pandas, scikit-learn, and related tools.</li><li>Strong understanding of statistics, machine learning algorithms, feature engineering, and model evaluation.</li><li>Strong knowledge of neural networks, transformer architectures, and modern deep learning techniques.</li><li>Experience building applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and prompt engineering.</li><li>Experience with NLP, document intelligence, semantic search, embeddings, information extraction, and named entity recognition.</li></ul><p><strong>Preferred Qualifications</strong></p><ul><li>Master s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field is preferred.</li><li>Experience deploying AI services using cloud platforms and modern software engineering practices.</li><li>Familiarity with vector databases, search technologies, and MLOps practices.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>6+ years of experience developing and deploying production AI and machine learning solutions.</li><li>Demonstrated experience leading the technical implementation of AI/ML projects.</li><li>Deep hands-on experience developing and implementing machine learning solutions.</li><li>Recent experience, within the last 2 years, taking at least one machine learning project from development through production deployment.</li><li>Experience supervising, reviewing, or providing technical guidance on the work and code of colleagues, junior engineers, or other technical team members.</li><li>Strong proficiency in Python and data science libraries including NumPy, pandas, scikit-learn, and related tools.</li><li>Strong understanding of statistics, machine learning algorithms, feature engineering, and model evaluation.</li><li>Strong knowledge of neural networks, transformer architectures, and modern deep learning techniques.</li><li>Experience building applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and prompt engineering.</li><li>Experience with NLP, document intelligence, semantic search, embeddings, information extraction, and named entity recognition.</li><li>Master s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field is preferred.</li><li>Experience deploying AI services using cloud platforms and modern software engineering practices.</li><li>Familiarity with vector databases, search technologies, and MLOps practices.</li></ul>

Job Title: Business Development Manager – Travel (DMC Egypt) About Us: We are a long-established luxury destination management company and inbound tour operator based in Egypt, specializing in tailor-made experiences for international clients. We are expanding our agency network and looking for a results-driven professional to build B2B partnerships with luxury and premium travel agencies worldwide. Key Responsibilities:Identify and connect with international travel agents and tour operators, with a focus on our key markets: the USA, France, Switzerland, Canada, Australia, and Brazil Proactively build a pipeline of new agency partners through Linked In, email, and direct outreach Build and maintain long-term B2B partnerships Present our services and Egypt programs professionally in calls, presentations, and at industry events Conduct calls, follow-ups, and negotiations, converting leads into active, booking partners Support our B2B marketing — Linked In presence, content, and campaigns — to attract inbound agency interest Maintain a CRM of prospects and partners, and coordinate with the operations team for smooth delivery Requirements:Excellent English, spoken and written; a second relevant language (French, Portuguese, German) is a strong plus Strong communication and sales skills, with a proven ability to open new business relationships — not only manage existing ones Experience in the travel industry (DMC, tour operator, or agency) is a big advantage Self-motivated and comfortable initiating contact with international partners Confident in calls, emails, and presentations, and able to work independently to achieve targets Location: Cairo — hybrid (office and home) Type: Full-time, competitive salary based on experience

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Advansys is looking for a Junior Machine Learning Engineer to join our dynamic team. This is an excellent opportunity for recent graduates or individuals with foundational experience in machine learning to advance their careers in a supportive and innovative environment. You will assist in the development, implementation, and monitoring of machine learning models and algorithms. Key responsibilities include:</p><p>Assisting in the design and implementation of machine learning models under the guidance of senior engineers.</p><p>Conducting data cleaning and preprocessing to prepare datasets for training models.</p><p>Supporting the evaluation and fine-tuning of machine learning algorithms.</p><p>Collaborating with cross-functional teams to understand project requirements and objectives.</p><p>Documenting processes, model training, and outcomes clearly and comprehensively.</p><p>Staying updated with industry trends and best practices in machine learning and AI.</p><p>Participating in team meetings and contributing to brainstorming sessions.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.</li><li>Basic understanding of machine learning concepts and algorithms.</li><li>Familiarity with programming languages such as Python or R, and experience with ML libraries (e.g., scikit-learn, TensorFlow, or Keras).</li><li>Experience with data manipulation and analysis tools such as Pandas and NumPy.</li><li>Strong analytical and problem-solving skills.</li><li>Good communication skills and the ability to work effectively in a team environment.</li><li>Enthusiasm for learning new technologies and techniques in AI/ML.</li><li>Internship or project experience in machine learning or data analysis is a plus.</li></ul><p></p></section>

<p>We are seeking a highly skilled Machine Learning Engineering Lead to drive the quality, scalability, and standardisation of machine learning solutions across the organisation. This role focuses on designing, developing, deploying, and maintaining end-to-end ML solutions while establishing technical standards, coding practices, and operational excellence. The successful candidate will combine strong software engineering expertise with advanced machine learning knowledge, work closely with stakeholders across distributed teams, and provide technical leadership, mentoring, and guidance to engineering colleagues.</p><p>What you ll do</p><ul><li>Provide technical leadership, mentoring, and guidance to junior and senior machine learning engineers, acting as a key technical reference within the team.</li><li>Design, develop, and deliver solutions for large-scale, real-world machine learning challenges.</li><li>Create, maintain, and optimise data pipeline platforms, ML pipelines, workflows, and automation solutions.</li><li>Oversee project priorities, deliverables, timelines, and technical quality standards.</li><li>Refactor and optimise machine learning algorithms to ensure production readiness and operational efficiency.</li><li>Design and develop cloud-based integrations and APIs.</li><li>Deliver containerised microservices following test-driven development practices.</li><li>Enable and integrate cloud capabilities into developed tools and platforms.</li><li>Build web applications and tools that support data scientists and facilitate customer consumption of machine learning services.</li><li>Follow accessibility standards, cross-browser compatibility requirements, and established engineering best practices.</li><li>Promote high-quality software engineering practices through code reviews and collaborative development.</li><li>Collaborate with planners, product teams, and stakeholders to design, develop, and operate tools that meet business requirements.</li><li>Support troubleshooting, root cause analysis, and issue resolution activities in collaboration with other teams.</li><li>Lead technical training sessions, contribute to standard operating procedures, and support engineering recruitment activities.</li><li>Conduct peer programming, knowledge sharing, and continuous improvement initiatives across the engineering community.</li></ul><p>Who you are</p><ul><li>Bachelor's degree in Computer Science, Engineering, Data Science, or a related discipline, or equivalent practical experience.</li><li>Demonstrated experience in machine learning engineering, software engineering, and production-scale solution delivery.</li><li>Strong expertise in machine learning algorithms, statistical modelling, and data analysis techniques.</li><li>Proficiency in Python, R, Java, or similar programming languages.</li><li>Experience with machine learning frameworks such as TensorFlow, scikit-learn, or equivalent technologies.</li><li>Strong knowledge of data pre-processing, feature engineering, and large-scale data manipulation.</li><li>Solid foundation in mathematics, statistics, and probability theory.</li><li>Experience deploying, monitoring, and maintaining machine learning models throughout the full ML lifecycle.</li><li>Familiarity with cloud platforms including AWS, Microsoft Azure, or Google Cloud.</li><li>Experience working with big data and distributed technologies such as Hadoop, Spark, and Kubernetes.</li><li>Strong understanding of Generative AI concepts and prompt engineering practices.</li><li>Experience working within international and geographically distributed teams.</li><li>Ability to facilitate workshops, validation sessions, and stakeholder discussions.</li><li>Excellent analytical, problem-solving, communication, and collaboration skills.</li><li>Experience mentoring colleagues and delivering technical training.</li><li>Ability to create and maintain standard operating procedures and engineering standards.</li><li>Commitment to continuous learning and adapting to emerging technologies and industry trends.</li></ul><p>Not a perfect fit?</p><p>Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.</p><p>What s in it for you</p><ul><li>Opportunity to work on large-scale machine learning and AI initiatives with global impact.</li><li>Exposure to modern cloud, data engineering, and MLOps technologies.</li><li>Chance to influence engineering standards, coding quality, and technical strategy.</li><li>Collaborative international working environment with cross-functional stakeholders.</li><li>Opportunities to mentor colleagues and contribute to the growth of the wider engineering community.</li><li>Continuous learning through exposure to emerging technologies, Generative AI, and advanced machine learning practices.</li></ul><p>What skills you will learn</p><ul><li>Advanced machine learning lifecycle management and production deployment practices.</li><li>Scalable data engineering and cloud-native architecture design.</li><li>MLOps, automation, orchestration, and platform engineering capabilities.</li><li>Leadership, mentoring, stakeholder management, and technical coaching skills.</li><li>Enterprise-scale API development and microservices architecture.</li><li>Generative AI implementation and prompt engineering best practices.</li><li>Technical governance, software quality assurance, and engineering standardisation.</li></ul><p>VOIS Equal Opportunity Employer Commitment</p><p>Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor's degree in Computer Science, Engineering, Data Science, or a related discipline, or equivalent practical experience. Demonstrated experience in machine learning engineering, software engineering, and production-scale solution delivery. Strong expertise in machine learning algorithms, statistical modelling, and data analysis techniques. Proficiency in Python, R, Java, or similar programming languages. Experience with machine learning frameworks such as TensorFlow, scikit-learn, or equivalent technologies. Strong knowledge of data pre-processing, feature engineering, and large-scale data manipulation. Solid foundation in mathematics, statistics, and probability theory.Experience deploying, monitoring, and maintaining machine learning models throughout the full ML lifecycle. Familiarity with cloud platforms including AWS, Microsoft Azure, or Google Cloud. Experience working with big data and distributed technologies such as Hadoop, Spark, and Kubernetes. Strong understanding of Generative AI concepts and prompt engineering practices. Experience working within international and geographically distributed teams. Ability to facilitate workshops, validation sessions, and stakeholder discussions. Excellent analytical, problem-solving, communication, and collaboration skills. Experience mentoring colleagues and delivering technical training. Ability to create and maintain standard operating procedures and engineering standards. Commitment to continuous learning and adapting to emerging technologies and industry trends.</p>

<ul><li><p>Monitor and improve Lead Preparation manufacturing processes to achieve production targets.</p></li><li><p>Support production lines by troubleshooting machine and process-related issues.</p></li><li><p>Follow up on machine maintenance plans and coordinate with Maintenance teams to ensure equipment reliability.</p></li><li><p>Analyze machine downtime and implement corrective and preventive actions.</p></li><li><p>Lead process improvement initiatives to increase productivity, quality, and efficiency.</p></li><li><p>Monitor machine performance and utilization, ensuring optimal operation.</p></li><li><p>Participate in new model introduction, machine trials, and process validations.</p></li><li><p>Ensure compliance with safety, quality, and operational standards.</p></li><li><p>Prepare and analyze manufacturing KPIs and support continuous improvement activities.</p></li><li><p>Coordinate with Production, Quality, Maintenance, and related departments to achieve departmental objectives.</p></li><li><p>Complete any other relevant tasks assigned by the immediate manager within company rules.</p></li></ul><p></p><p><strong>Requirements</strong></p><ul><li><p>Bachelor's Degree in Engineering.</p></li><li><p>Strong knowledge of machine maintenance and troubleshooting.</p></li><li><p>Strong analytical and problem-solving skills.</p></li><li><p>Good communication and leadership skills.</p></li><li><p>Strong reporting and presentation skills.</p></li><li><p>Very good command of English language.</p></li><li><p>Very good knowledge of Microsoft Office (Excel, PowerPoint, Word)</p></li></ul><p></p>

<p>We Are Hiring! Integrant is looking for game changers to join our team as "Data Scientist - AI &amp; Machine Learning" with below roles and responsibilities:</p><p>Use mathematics, statistics, machine learning, and artificial intelligence techniques to extract knowledge and insights from structured, semi-structured, and unstructured data. Design, develop, evaluate, and deploy predictive and prescriptive machine learning models. Conduct open research and experimentation to develop innovative solutions for complex client challenges. Engage with clients and stakeholders to understand business needs and translate them into AI and Data Science solutions. Design and implement end-to-end Machine Learning and Generative AI solutions. Build and optimize Retrieval-Augmented Generation (RAG) systems and intelligent agent-based applications. Develop scalable model deployment and monitoring solutions using MLOps best practices. Monitor model performance, detect concept drift, and continuously improve deployed systems. Collaborate with software engineering teams to productionize AI applications and ensure reliability, scalability, and maintainability. Mentor and coach junior Data Scientists and Machine Learning Engineers. Lead technical discussions, knowledge transfer sessions, and client-facing AI engagements. Stay current with emerging AI, Machine Learning, MLOps, and Generative AI technologies and frameworks.</p><p><strong>Desired Candidate Profile</strong></p><h2>Education &amp; Experience</h2><ul><li>7+ years of professional experience, including 5+ years in Data Science, Machine Learning &amp; MLOps</li><li>MSc in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related quantitative discipline.</li><li>Experience mentoring, coaching, or leading technical team members.</li></ul><h2>Data Science &amp; Machine Learning</h2><ul><li>Strong foundation in Machine Learning techniques including Classification, Regression, Clustering, Association Rule Mining, Feature Engineering, and Model Evaluation.</li><li>Experience with Deep Learning concepts and frameworks.</li><li>Extensive hands-on experience with Python and the Data Science ecosystem.</li><li>Experience with one or more ML frameworks such as Scikit-Learn, TensorFlow, Keras, or PyTorch.</li><li>Experience conducting research, experimentation, and hypothesis-driven analysis.</li></ul><h2>MLOps &amp; Production AI</h2><ul><li>Experience deploying and managing Machine Learning models in production environments.</li><li>Experience monitoring model performance, detecting concept drift, and driving continuous improvements.</li><li>Hands-on experience with MLOps practices, CI/CD pipelines, model versioning, experiment tracking, monitoring, and observability.</li><li>Experience deploying AI/ML solutions on cloud platforms such as Azure, AWS, GCP, or Databricks.</li><li>Experience with ML platforms and services including Azure ML, AWS SageMaker, or Google Vertex AI.</li><li>Familiarity with deployment and serving tools such as MLflow, FastAPI, and Streamlit.</li></ul><h2>Generative AI &amp; Agentic AI</h2><ul><li>Hands-on experience building Retrieval-Augmented Generation (RAG) solutions and semantic search applications.</li><li>Experience working with Vector Databases such as Pinecone, Weaviate, Chroma, Milvus, or Azure AI Search.</li><li>Experience using LLM orchestration frameworks such as LangChain, LangGraph, or similar technologies.</li><li>Experience working with Agentic AI frameworks such as LlamaIndex, CrewAI, AutoGen, or equivalent.</li><li>Experience implementing MCP (Model Context Protocol), tool calling, and function-calling workflows.</li><li>Strong understanding of prompt engineering techniques and LLM optimization.</li><li>Experience evaluating LLM applications using frameworks such as LangSmith, RAGAS, or similar tools.</li><li>Experience with Embeddings, Vector Retrieval, Semantic Search, Fine-Tuning, and LoRA techniques.</li></ul><h2>Cloud &amp; Data Engineering</h2><ul><li>Experience building large-scale data pipelines on Azure, AWS, or GCP.</li><li>Experience with Databricks and Apache Spark.</li><li>Experience with distributed data processing architectures.</li></ul><h2>Nice to Have:</h2><h3>Advanced AI &amp; Data Science</h3><ul><li>Reinforcement Learning (RL)</li><li>Optimization techniques, including single-objective and multi-objective optimization</li><li>Stochastic Local Search methods</li><li>Knowledge Graphs and Graph Machine Learning.</li></ul><h3>Leadership &amp; Consulting</h3><ul><li>Experience leading AI initiatives and technical strategy.</li><li>Experience working directly with international clients and stakeholders.</li><li>Experience defining AI architecture, standards, and best practices across teams.</li></ul>

<p>must know how make coffee and tea and clean well and honest supportive co-operator need to work in good place and quiet one with no Hassel and ready to start as soon as possible</p><p><strong>Requirements</strong></p><p></p><p>must know how make coffee and tea and clean well and honest supportive co-operator need to work in good place and quiet one with no Hassel and ready to start as soon as possible</p>

<ul><li>Collect, clean, and preprocess data from various sources to ensure data quality and accuracy.&nbsp;</li><li>Develop and implement advanced statistical models and machine learning algorithms to solve business problems.&nbsp;</li><li>Perform exploratory data analysis to identify trends, patterns, and variances in the data.&nbsp;</li><li>Analyze large amounts of information to find patterns and solutions.&nbsp;</li><li>Design and build data visualizations to effectively communicate findings to stakeholders.&nbsp;</li><li>Stay up-to-date with the latest developments in data science, machine learning, and artificial intelligence.&nbsp;</li><li>Document and present research findings and methodologies to both technical and non-technical audiences.&nbsp;</li><li><strong>Model Development:</strong> Design and implement machine learning algorithms or models tailored to solve specific ML problems. This involves selecting appropriate algorithms/techniques, tuning hyperparameters, and optimizing for performance.&nbsp;</li><li><strong>Feature Engineering:</strong> Identify, create, and integrate relevant features from raw data that will improve the performance of the machine learning models.&nbsp;</li><li><strong>Model Evaluation:</strong> Assess the performance of machine learning models using appropriate evaluation metrics and techniques such as cross-validation.&nbsp;</li><li><strong>Model Deployment:</strong> Integrate machine learning models into production systems, ensuring scalability, reliability, and efficiency.</li></ul>

Position Objective: To own and optimize the daily production process by ensuring the optimal performance, reliability, and availability of machinery through rapid breakdown response, advanced troubleshooting, and preventive maintenance. This role is directly accountable for achieving production output targets and minimizing equipment downtime (Machine Availability > 99.90%) while reducing maintenance costs.<br>Main Responsibilities:- Ensure machine availability remains above 99%.- Perform corrective maintenance as needed.- Manage spare parts inventory based on machine requirements.- Design and implement an effective preventive maintenance program.- Adhere to quality standards and 5S methodology.- Monitor and control the assigned budget.- Other duties as assigned.<br>Qualifications:- Must have a Bachelor’s degree in Mechatronics Engineering.- Proven +2 years of experience in Pneumatic machine is a must.- High level of English is a must (written and spoken).- Knowledge of PLC programming.<br>Skills:- TPM skills.- OEE knowledge.- Preventive maintenance background.- MMTR, MTBF knowledge.- Organized and methodical.- Teamwork Ability.<br>Work Conditions:- Location: 10th of Ramadan City.- Working days: Sunday – Thursday (The company can work also, six days a week if needed).- Shifts: Three shifts—Morning, Afternoon, and Night.- Environment: Production and Maintenance area.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We Are Hiring!<br> Integrant is looking for game changers to join our team as "Data Scientist - AI &amp; Machine Learning" with below roles and responsibilities: Use mathematics, statistics, machine learning, and artificial intelligence techniques to extract knowledge and insights from structured, semi-structured, and unstructured data.<br> Design, develop, evaluate, and deploy predictive and prescriptive machine learning models.<br> Conduct open research and experimentation to develop innovative solutions for complex client challenges.<br> Engage with clients and stakeholders to understand business needs and translate them into AI and Data Science solutions.<br> Design and implement end-to-end Machine Learning and Generative AI solutions.<br> Build and optimize Retrieval-Augmented Generation (RAG) systems and intelligent agent-based applications.<br> Develop scalable model deployment and monitoring solutions using MLOps best practices.<br> Monitor model performance, detect concept drift, and continuously improve deployed systems.<br> Collaborate with software engineering teams to productionize AI applications and ensure reliability, scalability, and maintainability.<br> Mentor and coach junior Data Scientists and Machine Learning Engineers.<br> Lead technical discussions, knowledge transfer sessions, and client-facing AI engagements.<br> Stay current with emerging AI, Machine Learning, MLOps, and Generative AI technologies and frameworks.<br> Salary paid in USD Six-month career advancing opportunities Employee parking space Supportive and friendly work environment Premium medical insurance [employee +family] English language development courses Interest-free loans paid over 2.<br>5 years Technical development courses Employment referral program Premium location in Maadi &amp; Nasr City Social insurance Opportunity to travel and work onsite with U.<br>S. customers In-house Technical and English training programs Flexible work schedules Perks: events, sponsored lunch, game area, rooftop hangout + more!<br> Education &amp; Experience 7+ years of professional experience, including 5+ years in Data Science, Machine Learning &amp; MLOps MSc in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related quantitative discipline.<br> Experience mentoring, coaching, or leading technical team members.<br> Data Science &amp; Machine Learning Strong foundation in Machine Learning techniques including Classification, Regression, Clustering, Association Rule Mining, Feature Engineering, and Model Evaluation.<br> Experience with Deep Learning concepts and frameworks.<br> Extensive hands-on experience with Python and the Data Science ecosystem.<br> Experience with one or more ML frameworks such as Scikit-Learn, TensorFlow, Keras, or PyTorch.<br> Experience conducting research, experimentation, and hypothesis-driven analysis.<br> MLOps &amp; Production AI Experience deploying and managing Machine Learning models in production environments.<br> Experience monitoring model performance, detecting concept drift, and driving continuous improvements.<br> Hands-on experience with MLOps practices, CI/CD pipelines, model versioning, experiment tracking, monitoring, and observability.<br> Experience deploying AI/ML solutions on cloud platforms such as Azure, AWS, GCP, or Databricks.<br> Experience with ML platforms and services including Azure ML, AWS SageMaker, or Google Vertex AI.<br> Familiarity with deployment and serving tools such as MLflow, FastAPI, and Streamlit.<br> Generative AI &amp; Agentic AI Hands-on experience building Retrieval-Augmented Generation (RAG) solutions and semantic search applications.<br> Experience working with Vector Databases such as Pinecone, Weaviate, Chroma, Milvus, or Azure AI Search.<br> Experience using LLM orchestration frameworks such as LangChain, LangGraph, or similar technologies.<br> Experience working with Agentic AI frameworks such as LlamaIndex, CrewAI, AutoGen, or equivalent.<br> Experience implementing MCP (Model Context Protocol), tool calling, and function-calling workflows.<br> Strong understanding of prompt engineering techniques and LLM optimization.<br> Experience evaluating LLM applications using frameworks such as LangSmith, RAGAS, or similar tools.<br> Experience with Embeddings, Vector Retrieval, Semantic Search, Fine-Tuning, and LoRA techniques.<br> Cloud &amp; Data Engineering Experience building large-scale data pipelines on Azure, AWS, or GCP.<br> Experience with Databricks and Apache Spark.<br> Experience with distributed data processing architectures.<br> Nice to Have: Advanced AI &amp; Data Science Reinforcement Learning (RL) Optimization techniques, including single-objective and multi-objective optimization Stochastic Local Search methods Knowledge Graphs and Graph Machine Learning.<br> Leadership &amp; Consulting Experience leading AI initiatives and technical strategy.<br> Experience working directly with international clients and stakeholders.<br> Experience defining AI architecture, standards, and best practices across teams.<br></span> </div>

<p><strong>Unleash Your Potential as a Machine Learning Engineer!</strong> Are you ready to dive into the exciting world of artificial intelligence and build innovative solutions that transform industries? We are seeking a passionate and experienced Machine Learning Engineer to join our dynamic team in a hybrid work environment. This is an incredible opportunity to make a significant impact, leveraging your expertise to design, develop, and deploy cutting-edge machine learning models.</p><p><strong>About the Role:</strong> As a Machine Learning Engineer, you will be at the forefront of innovation, contributing to projects that push the boundaries of what's possible. You'll work with diverse datasets, implement advanced algorithms, and bring intelligent systems to life. This role is perfect for someone who thrives on technical challenges and is eager to see their work directly influence product outcomes.</p><ul><li><strong>Key Responsibilities:</strong><ul><li><strong>Design and develop</strong> robust and scalable machine learning models.</li><li><strong>Implement and optimize</strong> algorithms for various applications.</li><li><strong>Collaborate</strong> with cross-functional teams to integrate ML solutions into existing systems.</li><li><strong>Analyze and interpret</strong> complex datasets to identify patterns and insights.</li><li><strong>Deploy and maintain</strong> machine learning models in production environments.</li><li><strong>Research and evaluate</strong> new machine learning techniques and technologies.</li><li><strong>Ensure</strong> the quality, performance, and scalability of ML systems.</li></ul></li><li><strong>Skills &amp; Technologies:</strong> You will be leveraging your strong foundation in <strong>Computer Science</strong> and <strong>Information Technology (IT)</strong>, coupled with deep expertise in <strong>Machine Learning</strong> and <strong>Engineering</strong> principles. Proficiency in <strong>Python</strong>, experience with various ML frameworks, and a solid understanding of data science methodologies are crucial for success in this role.</li><li><strong>Growth Opportunities:</strong> We are committed to your professional development. You'll have access to continuous learning resources, challenging projects, and mentorship opportunities to help you grow your skills in advanced ML techniques, cloud computing, and AI ethics. Expand your horizons and become a leader in the field!</li><li><strong>Team &amp; Culture:</strong> Join a collaborative, supportive, and innovative team where your ideas are valued. We foster an environment of continuous learning and encourage creative problem-solving. Our hybrid work model offers flexibility, blending the benefits of in-office collaboration in <strong>Alexandria, Egypt</strong> with the convenience of remote work.</li><li><strong>Impact:</strong> Your work will directly contribute to developing intelligent systems that drive business decisions, enhance user experiences, and solve complex real-world problems. Be part of a team that is shaping the future through AI!</li></ul>

<ul><li><p>Develop and manage <strong>production plans and schedules</strong> based on confirmed orders, required delivery dates, production capacity, and machine availability.</p></li><li><p>Prepare and optimize <strong>machine loading plans</strong>, ensuring the efficient utilization of available machines and production capacity.</p></li><li><p>Plan and prioritize production orders according to <strong>customer requirements, delivery commitments, machine capabilities, and production priorities</strong>.</p></li><li><p>Coordinate with the <strong>Sales/Commercial team</strong> to evaluate order feasibility, align on delivery commitments, and communicate production constraints or changes.</p></li><li><p>Monitor production progress against the approved plan and proactively identify <strong>delays, bottlenecks, capacity constraints, and scheduling conflicts</strong>.</p></li><li><p>Adjust production schedules based on changes in <strong>order priorities, machine availability, raw materials, and actual production performance</strong>.</p></li><li><p>Ensure effective coordination between <strong>Production Planning, Production, Sales/Commercial, Warehouse, and Procurement</strong> to support smooth order execution.</p></li><li><p>Maintain accurate planning data and provide clear updates on <strong>order status, production priorities, capacity utilization, and potential delivery risks</strong>.</p></li><li><p>Analyze planning and production performance and support continuous improvement in <strong>plan adherence, machine utilization, production lead time, and on-time delivery</strong>.</p></li></ul><p></p><p><strong>Requirements</strong></p><ul><li><p>Bachelor’s degree in <strong>Textile Engineering, Industrial Engineering, Production Engineering</strong>, or a related field.</p></li><li><p><strong>3–5 years of experience</strong> in Production Planning, preferably in the <strong>Textile or Manufacturing industry</strong>.</p></li><li><p>Strong experience in <strong>Production Scheduling, Machine Loading, and Capacity Planning.</strong></p></li><li><p>Strong <strong>analytical, problem-solving, communication, and coordination skills</strong>, with the ability to manage multiple priorities effectively.</p></li><li><p>Advanced <strong>MS Excel</strong> skills.</p></li></ul><p></p><p></p>

<p><h4>Position summary</h4> <p>Promote positive customer relations by assisting guests by providing parking validation, casino server services, and/or teaching guests how to play the slot machines. Assist guests with machine malfunctions. Maintain logbook with machine information. Fill out malfunction slips, claims forms, jackpot slips, and manual ticket payout forms. Refill machine printer paper. Inform guests of relevant promotions and events. Clear hands before and after handling currency and after machine interventions. Collect rating slips. Fulfill jackpot payments and hopper refill procedures. Report unusual machine and player activity.</p> <p>Follow all company and safety and security policies and procedures; report accidents, injuries, and unsafe work conditions to manager; and complete safety training and certifications. Ensure uniform and personal appearance is clean and professional, maintain confidentiality of proprietary information, and protect company assets. Welcome and acknowledge all guests according to company standards, anticipate and address guests’ service needs, assist</p><p></p>

<p>We are seeking passionate, forward-thinking professionals to join our dynamic software engineering team. The AI/Machine Learning Engineer is responsible for supporting the development and implementation of machine learning solutions that drive innovation across our business. Working alongside experienced engineers and domain experts, you'll help turn data into actionable insights and contribute to models that power real-world applications.</p><p>Key Accountabilities</p><ul><li>Assist in the design and development of machine learning models to solve business problems.</li><li>Perform data cleaning, preprocessing, and exploration to prepare datasets for analysis and modeling.</li><li>Collaborate with team members to analyze data, identify patterns , and extract insights.</li><li>Support the evaluation and improvement of existing models using appropriate metrics and techniques.</li><li>Work closely with cross-functional teams (engineering, product, business) to integrate data science solutions into products and processes.</li><li>Stay current with industry tools and best practices in machine learning and data analysis.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>3+ years of hands-on experience with machine learning or data analysis projects (academic or industry).</li><li>Proficiency in Python and key libraries (e.g., pandas, NumPy, scikit-learn, matplotlib).</li><li>Solid understanding of machine learning fundamentals , model evaluation, and data preprocessing.</li><li>Good problem-solving skills and a willingness to learn new tools and techniques.</li><li>Strong communication skills and the ability to work in a collaborative environment.</li></ul><p>Preferred Qualifications:</p><ul><li>Bachelor s in Computer Science, Data Science, Statistics, or a related field.</li><li>Exposure to AWS cloud platform or deployment tools is a plus.</li><li>Familiarity with NLP tasks.</li><li>Familiarity with large language models or generative AI technologies is a bonus.</li></ul>