Jobs For Faculty Of Science Graduates in Egypt

As an AI & Data Trainee, you will contribute to projects that turn data into insight and help shape AI-driven solutions that support business goals. This role is a strong fit for someone looking to grow their foundation in artificial intelligence, machine learning, and data work while collaborating with teams across the business on meaningful technology initiatives.<br><br>Responsibilities<br><br>Develop and implement AI and data-driven solutions to support business objectives Analyze large datasets to extract actionable insights and support decision-making Design and build machine learning models and algorithms tailored to company projects Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows Stay current with the latest advances in AI, machine learning, and data science technologies Support data governance, data quality, and ethical AI practices within the organization<br><br>Requirements<br><br>Bachelor's degree (or recent graduate) in Computer Science, Data Science, Artificial Intelligence, or a related field Basic knowledge of machine learning frameworks such as Tensor Flow, PyTorch, or scikit-learn (academic or personal projects are a plus) Good programming skills in Python and familiarity with data processing libraries (such as Pandas and Num Py) Basic understanding of working with data, including data cleaning workflows, and data visualization tools such as Power BI or Tableau, along with Python-based visualization libraries such as Matplotlib or Seaborn Foundational knowledge of statistics, data mining, predictive modeling concepts, and model experimentation workflows Experience working in Agile-style delivery Eligible to work in Egypt Experience with version control using Git is a plus Completion of solid AI, machine learning, or data projects is a plus<br><br>Benefits<br><br>A culture of growth: Many of our leaders started in junior roles — we believe in investing in our people and growing talent from within Continuous feedback: We don't wait for annual reviews — we believe in real-time coaching and development Supportive & collaborative vibes: We're all about learning together, cheering each other on, and diving into challenges as a team A space for every personality: Love socializing? You'll thrive in our lively environment where conversation and connection are key. Prefer quiet focus? We've got dedicated Focus Rooms perfect for deep work

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a highly skilled and innovative Senior AI Developer to lead the design, development, and deployment of advanced AI and machine learning solutions. The ideal candidate will have deep expertise in machine learning, deep learning, and data engineering, with a strong foundation in Python and modern AI frameworks. You will collaborate with cross-functional teams to build intelligent systems that solve real-world problems and drive business value.</p><p>Responsibilities:</p><ul><li>Design, develop, and deploy scalable AI/ML models for classification, prediction, recommendation, NLP, or computer vision tasks.</li><li>Collaborate with data scientists, engineers, and product teams to define AI solution requirements and architecture.</li><li>Build and maintain machine learning pipelines, from data ingestion to model serving.</li><li>Optimize model performance, accuracy, and efficiency for production environments.</li><li>Conduct research and stay current with the latest advancements in AI, ML, and deep learning.</li><li>Lead AI-related projects and mentor junior developers or data scientists.</li><li>Ensure AI solutions are explainable, ethical, and aligned with organizational goals.</li><li>Integrate AI models into web, mobile, or enterprise applications using APIs or microservices.</li><li>Document models, workflows, and decision logic for transparency and reproducibility.</li></ul><p>Required Skills &amp; Qualifications</p><ul><li>Bachelor s or Master s degree in Computer Science, Data Science, AI, or a related field.</li><li>5+ years of experience in AI/ML development, including production-grade deployments.</li><li>Strong proficiency in Python and libraries such as scikit-learn, NumPy, pandas, Matplotlib.</li><li>Hands-on experience with deep learning frameworks: TensorFlow, PyTorch, or Keras.</li><li>Solid understanding of machine learning algorithms, neural networks, and model evaluation techniques.</li><li>Experience with data preprocessing, feature engineering, and model tuning.</li><li>Familiarity with cloud platforms (Azure, AWS, or GCP) and ML model deployment tools (e.g., Docker, FastAPI, MLflow).</li><li>Strong grasp of data structures, algorithms, and software engineering principles.</li></ul><p>Preferred (Nice-to-Have):</p><ul><li>Experience with natural language processing (NLP), computer vision, or time-series forecasting.</li><li>Familiarity with MLOps practices and tools (e.g., Kubeflow, Airflow, SageMaker).</li><li>Exposure to generative AI (e.g., transformers, LLMs, diffusion models).</li><li>Experience with NoSQL databases (e.g., MongoDB, Redis) and big data tools (e.g., Spark, Hadoop).</li><li>Knowledge of data privacy, AI ethics, and model interpretability techniques.</li><li>Contributions to open-source AI projects or research publications.</li><li>Strong analytical and problem-solving mindset.</li><li>Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders.</li><li>Self-driven, collaborative, and passionate about innovation.</li><li>Ability to lead projects and mentor junior team members.</li></ul><p>Apply</p></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, Data Science, AI, or a related field.</li><li>5+ years of experience in AI/ML development, including production-grade deployments.</li><li>Strong proficiency in Python and libraries such as scikit-learn, NumPy, pandas, Matplotlib.</li><li>Hands-on experience with deep learning frameworks: TensorFlow, PyTorch, or Keras.</li><li>Solid understanding of machine learning algorithms, neural networks, and model evaluation techniques.</li><li>Experience with data preprocessing, feature engineering, and model tuning.</li><li>Familiarity with cloud platforms (Azure, AWS, or GCP) and ML model deployment tools (e.g., Docker, FastAPI, MLflow).</li><li>Strong grasp of data structures, algorithms, and software engineering principles.</li><li>Experience with natural language processing (NLP), computer vision, or time-series forecasting.</li><li>Familiarity with MLOps practices and tools (e.g., Kubeflow, Airflow, SageMaker).</li><li>Exposure to generative AI (e.g., transformers, LLMs, diffusion models).</li><li>Experience with NoSQL databases (e.g., MongoDB, Redis) and big data tools (e.g., Spark, Hadoop).</li><li>Knowledge of data privacy, AI ethics, and model interpretability techniques.</li><li>Contributions to open-source AI projects or research publications.</li><li>Strong analytical and problem-solving mindset.</li><li>Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders.</li><li>Self-driven, collaborative, and passionate about innovation.</li><li>Ability to lead projects and mentor junior team members.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>EVA Pharma is hiring Senior Scientist for the inhalation development team.<br> The role will be responsible for hands-on formulation development, analytical characterisation, scale-up, and process validation of Generic Dry Powder Inhaler products — including capsule-based, blister-based, reservoir-based, dual capsule/blister inhalers, and generic nebulizers.<br> The role requires deep technical expertise in powder engineering and inhalation science, with the ability to independently drive development activities.<br> Key responsibilities: DPI Formulation Development Design and optimise DPI, MDI &amp; Nebulizer formulations for capsule-based, blister-based, reservoir-based, and dual capsule/blister inhalers Develop and evaluate device-formulation compatibility across all inhalation platform types Apply particle engineering techniques — micronization, spray drying, powder blending — to achieve target aerodynamic profiles Develop generic nebulizer formulations alongside DPI programmes Execute feasibility, prototype, and optimisation studies with full scientific documentation Analytical Characterisation Perform aerodynamic characterisation using NGI and DUSA for in-process and release testing Apply laser diffraction and other particle sizing tools to characterise powder properties Execute and interpret analytical data to guide formulation decisions and device selection Support development and qualification of analytical methods specific to inhalation products Scale-Up &amp; Process Validation Lead scale-up activities from lab to pilot and commercial manufacturing scale Define and optimise critical process parameters using QbD principles, DoE, and FMEA Execute process validation protocols and compile validation reports Identify and mitigate technical risks through the development lifecycle Tech Transfer to Manufacturing Prepare technology transfer packages including formulation, process, and analytical documentation Support on-site transfer activities at manufacturing scale and resolve technical deviations Collaborate with production and engineering teams to ensure successful handover Bioequivalence Support Contribute to bioequivalence protocol design for generic DPI products versus reference innovators Prepare formulation and device rationale sections required for BE study initiation Support interpretation of BE data from a formulation science perspective Scientific Guidance Provide day-to-day technical guidance to 1–3 junior researchers working on DPI projects Review experimental data, troubleshoot issues, and validate scientific conclusions Maintain up-to-date knowledge of inhalation science, device technologies, and industry trends Education: PhD or Master's degree in Pharmaceutics, Pharmaceutical Sciences, or related field Overall Experience: 8–10 years of hands-on experience in DPI development within the pharmaceutical industry Technical skills: Proven formulation experience across capsule-based, blister-based, reservoir-based, and dual DPI formats Hands-on expertise with NGI, DUSA, and laser diffraction for aerodynamic characterisation Particle engineering skills: micronization, spray drying, and powder blending Scale-up and process validation experience for inhalation products Experience preparing technology transfer documentation for manufacturing handover Contribution to BE protocol design or study initiation for generic DPI products Familiarity with QbD, DoE, and FMEA-based risk management</span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Valleysoft is a regional IT services provider delivering enterprise application development, process management, IT support, and a broad range of technology solutions for global clients.<br> Working across the information technology and services sector, the company helps organizations solve complex business problems through practical, scalable digital solutions.<br> As a Data Scientist – Artificial Intelligence, you will help shape AI-driven solutions that turn data into business value.<br> This role is focused on applying advanced data science, machine learning, and generative AI techniques to real-world challenges, partnering closely with technical teams and business stakeholders to deliver solutions that are innovative, reliable, and aligned with business goals.<br> Responsibilities Design, develop, and deploy Machine Learning and Artificial Intelligence models to address complex business challenges.<br> Analyze large volumes of structured and unstructured data to identify trends, patterns, and actionable insights.<br> Build predictive, classification, clustering, recommendation, and forecasting models.<br> Develop and optimize Deep Learning models using modern AI frameworks.<br> Design and implement Generative AI solutions using Large Language Models (LLMs).<br> Build Retrieval-Augmented Generation (RAG) pipelines and apply Prompt Engineering techniques.<br> Perform data collection, cleansing, preprocessing, feature engineering, and exploratory data analysis (EDA).<br> Collaborate with Data Engineers and Software Engineers to build scalable AI applications and data pipelines.<br> Deploy, monitor, and maintain machine learning models using MLOps best practices.<br> Evaluate and improve model performance using appropriate statistical and machine learning metrics.<br> Work closely with business stakeholders to translate business requirements into AI-driven solutions.<br> Develop technical documentation, model documentation, and solution architecture artifacts.<br> Ensure AI solutions comply with data governance, security, privacy, and Responsible AI principles.<br> Stay current with emerging AI technologies, frameworks, and industry best practices.<br> Private Health Insurance.<br> Training &amp; Development.<br> Opportunities for professional growth and development in a cutting-edge field.<br> A collaborative and inclusive work environment.<br> The chance to work on impactful projects with a team of passionate experts.<br> Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Statistics, Mathematics, Engineering, or a related field.<br> Min 7 years of hands-on experience in Data Science, Machine Learning, or Artificial Intelligence.<br> Strong experience developing and deploying AI/ML models in enterprise environments.<br> Excellent analytical, problem-solving, and communication skills.<br> Experience working in Agile development environments.<br> Technical Skills: Programming Languages Python SQL R (Preferred) Machine Learning &amp; Data Science Scikit-learn XGBoost LightGBM Statistical Modeling Predictive Analytics Time Series Forecasting Classification &amp; Regression Clustering Recommendation Systems Feature Engineering Deep Learning TensorFlow PyTorch Keras Generative AI Large Language Models (LLMs) Prompt Engineering Retrieval-Augmented Generation (RAG) LangChain LlamaIndex AI Agents Vector Databases (FAISS, ChromaDB, Pinecone) IBM AI &amp; Data Platform IBM watsonx.<br>ai IBM watsonx.<br>data IBM watsonx.<br>governance IBM Cloud Pak for Data IBM Knowledge Catalog IBM Db2 IBM SPSS Modeler (Preferred) Data Engineering Apache Spark Hadoop Apache Kafka Apache Airflow Pandas NumPy ETL Pipelines Databases PostgreSQL Oracle Database Microsoft SQL Server MongoDB Cloud Platforms IBM Cloud Microsoft Azure Amazon Web Services (AWS) Google Cloud Platform (GCP) MLOps &amp; DevOps MLflow Docker Kubernetes Git Jenkins CI/CD Pipelines Data Visualization Power BI Tableau Matplotlib Plotly Preferred Skills Experience developing enterprise AI solutions using IBM watsonx platform.<br> Experience building AI-powered applications using LLMs and RAG architectures.<br> Knowledge of Natural Language Processing (NLP) and Computer Vision.<br> Experience with Explainable AI (XAI) and Responsible AI principles.<br> Familiarity with Data Governance and AI Governance frameworks.<br> Experience integrating AI models with REST APIs and microservices.<br> Understanding of distributed computing and Big Data technologies.<br> Experience working in Agile/Scrum teams.<br> Soft Skills Strong analytical and critical thinking skills.<br> Excellent problem-solving abilities.<br> Strong verbal and written communication skills.<br> Ability to work collaboratively within cross-functional teams.<br> Strong stakeholder management skills.<br> Ability to manage multiple priorities in a fast-paced environment.<br> Passion for innovation, continuous learning, and emerging AI technologies.<br> Preferred Certifications IBM watsonx AI Certification IBM AI Engineering Professional Certificate Microsoft Certified: Azure AI Engineer Associate AWS Certified Machine Learning – Specialty Google Professional Machine Learning Engineer Databricks Certified Machine Learning Professional</span> </div>

<p>Are you passionate about precision and dedicated to upholding the highest standards? We're seeking an enthusiastic and meticulous <strong>Quality Assurance Coordinator</strong> to join our dynamic R&D/Science team in <strong>Cairo, Egypt</strong>. This is an incredible opportunity for an entry-level professional to kickstart a rewarding career, contributing directly to product excellence and innovation in an on-site, collaborative environment.</p><p><strong>Overview:</strong> As a Quality Assurance Coordinator, you will be a critical guardian of quality, ensuring that all processes and products meet stringent internal and external standards. Your work will directly impact our reputation for excellence and the success of our scientific endeavors.</p><p><strong>Responsibilities:</strong></p><ul><li>Execute and document routine quality checks and inspections on materials and processes.</li><li>Assist in the development and implementation of QA protocols and procedures.</li><li>Analyze data to identify trends, potential issues, and areas for improvement.</li><li>Collaborate with R&D and production teams to address quality concerns proactively.</li><li>Maintain accurate and organized records of all quality assurance activities.</li><li>Contribute to the continuous improvement of our quality management systems.</li></ul><p><strong>Skills & Technologies:</strong> You will leverage your foundational knowledge in <strong>QA</strong> and <strong>Quality Assurance</strong> principles, coupled with your background in <strong>Biochemistry</strong> and <strong>Materials Science</strong>. Proficiency in <strong>documentation</strong>, <strong>data analysis</strong>, and strong <strong>problem-solving</strong> skills will be key to your success.</p><p><strong>Growth Opportunities:</strong> This entry-level role offers a solid foundation for career progression within our Quality and R&D departments. You'll gain hands-on experience, learn from seasoned professionals, and have opportunities to contribute to cutting-edge scientific projects, fostering continuous professional development.</p><p><strong>Team & Culture:</strong> Join a supportive and innovative team that values scientific rigor, collaboration, and a shared commitment to quality. We foster an environment where new ideas are welcomed, and every team member plays a vital role in our collective success.</p><p><strong>Impact:</strong> Your dedication to quality will directly ensure the integrity and reliability of our products and research, making a tangible impact on our operational efficiency and customer satisfaction.</p><p><strong>Requirements</strong></p><ul><li><strong>Educational Background:</strong> A degree in Biochemistry, Materials Science, or a related scientific field is highly advantageous.</li><li><strong>Experience:</strong> <strong>1-2 years of proven experience</strong> in a Quality Assurance or R&D setting, ideally within a scientific or manufacturing environment. This is an exciting opportunity for an <strong>Entry Level</strong> professional ready to make a significant contribution.</li><li><strong>Essential Skills:</strong></li><ul><li>Strong understanding of <strong>QA</strong> and <strong>Quality Assurance</strong> methodologies.</li><li>Solid foundation in <strong>Biochemistry</strong> and/or <strong>Materials Science</strong>.</li><li>Excellent <strong>attention to detail</strong> and meticulous record-keeping abilities.</li><li>Proficiency in <strong>documentation</strong> and report generation.</li><li>Demonstrated ability in <strong>data analysis</strong> and problem-solving.</li><li>Strong <strong>communication</strong> and interpersonal skills for effective team collaboration.</li><li>Familiarity with compliance standards relevant to scientific and quality control processes.</li></ul><li><strong>Career Level:</strong> This role is perfect for an <strong>Entry Level</strong> professional eager to grow and develop their expertise in quality management.</li></ul>

???? WE ARE HIRING | Academic Year 2026–2027<br><br>Join the Futures British School Team<br><br>Futures British School, a leading British international school in Nasr City, Cairo, is expanding its team for the 2026–2027 Academic Year.<br><br>We are looking for passionate, dedicated, and highly motivated professionals who are committed to delivering exceptional education and inspiring every learner to achieve their full potential.<br><br>Current Vacancies<br><br>Academic Positions<br><br>English Teacher – Stage 7<br><br>- Proven experience teaching Cambridge Lower Secondary English.<br>- Experience preparing students for Cambridge Checkpoint is essential.<br><br>Mathematics Teacher – Stage 6<br><br>- Proven experience teaching Cambridge Primary Mathematics.<br>- Experience preparing students for Cambridge Checkpoint is essential.<br><br>Science Teachers – Stage 4 & Stages 7–8<br><br>- Proven experience teaching Cambridge Primary and Lower Secondary Science.<br>- Experience preparing students for Cambridge Checkpoint is essential.<br><br>Head of German Department<br><br>- Strong leadership experience within a British curriculum school.<br>- Ability to lead curriculum planning, assessment, and departmental development.<br><br>Support Staff<br><br>- Co-Teachers<br>- Science Laboratory Technician<br>- Class Matrons<br><br>Application Details<br><br>???? Location: Nasr City, Cairo<br><br>???? Email: fbs@futuresnet.net<br><br>Please Note<br><br>- Only applicants currently residing in Cairo will be considered.<br>- Please include the position title in the email subject line. Applications without a clear subject line may not be reviewed.<br><br>Inspire. Educate. Lead.<br><br>Become part of the Futures British School community and help shape the future of education.<br><br>We look forward to welcoming exceptional educators and professionals to our growing team.

About the job:<br>Ad highlights:Ad Job title: Medical Devices Sales Representative Mandatory specs: Medical background only (Biomedical Engineer, Veterinarian, Pharmacist, or Science) Gender: Any Available areas: Cairo | Alexandria | Delta | Upper Egypt | Canal Region Advantage for CV Submissions: Applicants who submit a CV will be given first priority.<br>Send your resume to:admin@unitedtrading-eg.comCall or Chat: 010 231 333 53<br>Ad details:Join Our Team at United Trading & Agencies Are you ready to embark on an exciting career in the medical equipment sector? We’re hiring Product Sales Specialists to join our dynamic sales team and help us make a difference! Why Join Us?✅ Very Attractive Package including:· Competitive salary· Monthly Expenses· Sales Commission· Social and medical insurance✅ A supportive and growth-driven work environment✅ Opportunities to develop your technical and personal skills What We’re Looking For:· Medical background (Biomedical Engineer, Veterinarian, Pharmacist, or Science).· Strong teamwork skills.· Eagerness to learn and grow.· Excellent communication and interpersonal skills.· Experience in the healthcare sector (up to 4 years) – Fresh graduates are welcome!<br>Work Locations:???? Cairo | ???? Giza | ???? Alexandria | ???? Delta | ???? Upper Egypt | ???? Canal Region???? Apply Now and take the first step toward your future!<br>Send your resume to:admin@unitedtrading-eg.comCall or Chat: 010 231 333 53

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b>Job Overview</b> We are seeking an experienced AI Tools &amp; Enablement Specialist with 3 11+ years of experience to drive the adoption, enablement, and operationalization of AI tools across business and technology teams. The ideal candidate will have hands-on experience with enterprise AI platforms, productivity AI tools, low-code automation platforms, data science environments, and API-based AI integrations. This role focuses on enabling teams to effectively leverage AI capabilities, build AI-powered solutions, and accelerate business transformation initiatives. Key Responsibilities Enable enterprise adoption of AI tools and platforms across business functions. Evaluate, configure, and implement AI solutions aligned with organizational needs. Support AI experimentation, prototyping, and rapid solution development. Develop AI-enabled workflows, automation solutions, and productivity enhancements. Create enablement materials, best practices, and usage guidelines for AI platforms. Collaborate with business stakeholders, data teams, and engineering teams to identify AI opportunities. Configure and support enterprise AI assistants, AI copilots, and generative AI solutions. Integrate AI capabilities with enterprise applications using APIs and automation frameworks. Support governance, security, and responsible AI adoption practices. Monitor AI tool usage, adoption metrics, and business impact. Provide training and guidance to users on effective AI utilization.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Required Technical Skills AI &amp; Data Science Platforms Hands-on experience with Dataiku or Databricks or Vertex AI Workbench for AI experimentation, analytics, and machine learning workflows. Experience supporting AI/ML development environments and collaborative data science platforms. Generative AI &amp; AI Assistants Experience with Claude or ChatGPT Enterprise or Gemini for enterprise AI enablement and productivity use cases. Understanding of prompt engineering, AI assistants, and Generative AI adoption practices. Experience evaluating AI capabilities for business workflows. Low-Code &amp; Automation Platforms Experience with Microsoft Power Platform or Appian for workflow automation, application development, and business process enablement. Ability to design AI-powered automation solutions using low-code platforms. AI Integration &amp; APIs Experience integrating AI services using APIs . Understanding of REST APIs, authentication methods, and connecting AI capabilities with enterprise applications. Qualifications Bachelor's degree in Computer Science, Artificial Intelligence, Information Technology, Software Engineering, or a related field. 3 11+ years of experience in AI enablement, automation, analytics, digital transformation, software development, or technology consulting. Strong understanding of AI concepts, Generative AI capabilities, and enterprise AI adoption. Excellent communication, training, and stakeholder management skills. Ability to translate business requirements into AI-driven solutions. Preferred Skills Experience implementing enterprise AI adoption programs. Knowledge of AI governance, security, and responsible AI practices. Experience working with cloud AI platforms such as AWS, Azure, or Google Cloud. Familiarity with automation workflows, process optimization, and digital transformation initiatives. Experience creating AI training programs and user enablement content.</p><p></p></section>

Westview International Language School is seeking a qualified and dedicated Secondary Biology Teacher to join our team. This role offers an exciting opportunity to teach biology within the Secondary Stage, inspiring students to develop a deep understanding of biological sciences and critical thinking skills.<br><br>Key Responsibilities:<br><br>Plan and deliver engaging and comprehensive biology lessons aligned with the secondary curriculum Utilize diverse teaching strategies to accommodate different learning styles and promote active student participation Design and administer assessments to monitor and evaluate student progress Encourage scientific inquiry, critical analysis, and practical understanding through laboratory experiments and projects Maintain a positive, inclusive, and productive classroom environment Collaborate with colleagues to enhance curriculum delivery and participate in school activities and professional development Communicate effectively with students, parents, and administration regarding student progress and concerns<br><br>Requirements<br><br>Bachelor's degree in Biology, Science Education, or a related field Valid teaching certification or qualification preferred Strong classroom management and communication skills Ability to create engaging and effective lesson plans that meet curriculum standards Passion for teaching and motivating students in the sciences Commitment to professional growth and collaboration<br><br>Safeguarding Statement: The school is committed to safeguarding and promoting the welfare of all students. All appointments are subject to satisfactory background and reference checks.<br><br>Benefits<br><br>Tuition Discount for Dependents Medical Insurance for Self Transportation upon availability (Meeting Points)

Duties:Design, develop, and deploy advanced AI/ML models for real-world applications. Lead end-to-end AI solution lifecycle: data collection, preprocessing, modeling, evaluation, and deployment. Collaborate with data scientists, software engineers, and product managers to integrate AI into products. Implement MLOps best practices for automation, monitoring, and retraining of models. Research and evaluate new AI/ML frameworks, tools, and algorithms to enhance solutions. Ensure scalability, performance, and reliability of AI systems in production. Mentor and guide junior engineers to improve team capabilities.<br><br>Technical Requirements Bachelor’s or master’s in computer science, AI, Machine Learning, Data Science, or related field5+ years in AI/ML engineering with proven project deployment Strong proficiency in Python; knowledge of R, Java, or C++ is a plus Tensor Flow, PyTorch, scikit-learn, Hugging Face, Open AI APIsCI/CD pipelines, Docker, Kubernetes, cloud platforms (AWS, Azure, GCP) Experience with SQL/NoSQL, data preprocessing, big data tools (Spark, Hadoop) Experience building REST APIs / microservices for model deployment<br>. Non-Technical Requirements Strong problem-solving and analytical skill Ability to prioritize tasks and manage time effectively Excellent verbal and written communication skills Strong collaboration and teamwork mindset Demonstrated proactivity, ownership, and commitment to deliver results Interest in continuous learning and professional development Ability to mentor junior engineers and foster knowledge-sharing culture

Company Description<br> <br>ANOMALY is a leading student-led technology community committed to promoting innovation and technical prowess. Inspired by the concept of breaking norms, ANOMALY empowers individuals to excel as standout contributors in the tech field. The community encompasses a variety of tracks, such as AI/Machine Learning, Data Science, Cybersecurity, Web/Mobile Development, and Game Design. By offering workshops, real-world projects, and networking opportunities, ANOMALY bridges the gap between academic learning and industry readiness, cultivating the next generation of trailblazing tech professionals.<br><br> Role Description<br> <br>This is a volunteer Teaching Volunteer role focused on supporting technology education and skills development within the ANOMALY Community. Responsibilities include creating lesson plans, developing curricula tailored to learners’ needs, delivering engaging educational sessions, and collaborating with other community members to foster a hands-on learning environment. This is a hybrid role, based in Suez, with the flexibility to undertake some tasks remotely.<br><br> Qualifications<br> <br>Proficiency in Lesson Planning, Curriculum Development, and developing structured learning materials Strong Communication and Education skills to connect effectively with learners and colleagues Prior experience or enthusiasm for Teaching in a classroom or virtual setting Collaborative mindset and passion for community-driven learning Basic understanding of any of the community's focus areas (e.g., AI, Data Science, Web Development) is advantageous but not mandatory

Professional Trainers – Multiple Technical Specializations We are seeking experienced professional trainers to join a large-scale training project affiliated with a major governmental entity in Egypt. Required Specializations:Google Data Analytics Microsoft Power BIMicrosoft Data Engineering Microsoft Machine Learning Data Science React Front-End Development Front-End Web Development Full Stack . NET Development Software Testing (QA) Dev Ops Engineering Cybersecurity CCNARequirements:3–5 years of academic and professional experience in the relevant field. Previous training or teaching experience is preferred. Strong presentation and communication skills. Ability to deliver practical, hands-on training sessions. Commitment to training schedules and project requirements. Training Locations:Cairo, Giza, Ismailia, Suez, Qalyubia, Sharqia, Daqahlia, Damietta, Kafr El Sheikh, Assiut, Qena, and Alexandria. Application Process:Interested candidates are invited to submit their updated CVs and complete the application form before June 20, 2026. Application Form:https://forms.gle/AAT17h FbKVrNPJLF7Only shortlisted candidates will be contacted for the next stage of the selection process. We look forward to welcoming qualified trainers who are passionate about sharing knowledge and developing future talents across Egypt.#Training #Hiring #Trainers #Data Analytics #Power BI #Data Engineering #Machine Learning #Data Science #React JS #Frontend Developer #Dot Net #Software Testing #Dev Ops #Cyber Security #CCNA #Egypt Jobs #Training Project

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>BlackStone eIT is looking for a skilled AI Engineer to join our innovative team.<br> As an AI Engineer, you will design, develop, and implement artificial intelligence solutions that address complex business challenges.<br> You will work closely with data scientists, engineers, and stakeholders to build scalable AI models and integrate them into product offerings.<br> This position offers a great opportunity to contribute to cutting-edge AI projects and help drive the adoption of AI technologies within our organization.<br> You will be involved in all stages of AI project development, from data collection and preprocessing to model training, deployment, and monitoring.<br> ? Competitive salary paid in USD ? Fully remote – work from anywhere ? Work with a diverse international team ? Exciting projects and a supportive engineering culture ? Opportunities to grow technically and professionally 3+ years of experience in AI or machine learning engineering roles.<br> Proficiency in programming languages such as Python and experience with AI/ML libraries like TensorFlow, PyTorch, or Scikit-learn.<br> Knowledge of AI model deployment and monitoring best practices.<br> Understanding of data processing, feature engineering, and model evaluation techniques.<br> Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.<br> Strong problem-solving abilities and excellent communication skills.<br> Experience with cloud computing platforms (AWS, Azure, or GCP) is preferred.<br> Familiarity with containerization tools such as Docker is a plus.<br></span> </div>

We’re Hiring: Heads of Department (Grades 1–9) Silicon Valley International School — New Administrative Capital, Egypt<br>About the roles Silicon Valley International School is recruiting outstanding, bilingual leaders (English at C2 level required; Arabic strongly preferred) to head departments and raise student achievement across Grades 1-9.<br>Open positions English — Head of Department (American curriculum, Years 3–9) Mathematics — Head of Department (American curriculum, Grades 3–9) Science — Head of Department (British curriculum, Years 1–9) Science — Head of Department (American curriculum, Grades 1–9) Art — Head of Department (serving both British and American divisions) Music — Head of Department (serving both British and American divisions) Library and Media — Head of Department (serving both British and American divisions)<br>What you bring Bachelor's in subject or Education + recognized teaching qualification required — master's is a plus5+ years of successful teaching with proven leadership or coordination experience Deep knowledge of learning progressions & assessment from Grade 1–9English C2 required — Arabic strongly preferred for family & staff communication Demonstrated ability to raise student outcomes through curriculum design, coaching & data use Organized, collaborative & student-centered — with a firm commitment to safeguarding<br>What we offer Competitive salaries starting at 30k up to 60k based on experience and qualifications Social insurance and medical insurance. Transportation. Dependents' tuition discount

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Apply today at Hitachi Energy Full time in Ramadan City, Egypt in our Engineering &amp; Science department and be part of a diverse and collaborative team. Hitachi Energy is a global technology leader that is advancing a sustainable energy future for all</p> </div>

<p>Title: Junior Application Support Engineer (L2)</p><p><em>About the Role</em></p><p>We are looking for a passionate Computer Science graduate to act as the technical bridge between customer service and our senior engineers. You will investigate complex user issues, inspect network traffic, and analyze API responses to pinpoint the exact root cause, ultimately saving senior developer hours and speeding up resolution times.</p><p><em>Key Responsibilities</em></p><p> * <em>L2 Triage:</em> Act as the first line of technical escalation to investigate and reproduce bugs reported by customer service.</p><p> * <em>Technical Diagnosis:</em> Inspect CRM network logs, analyze API payloads, and read JSON responses to identify the source of the problem.</p><p> * <em>Detailed Reporting:</em> Provide senior engineers with precise bug reports, including failing endpoints, error logs, and reproduction steps so they can jump straight to fixing the issue.</p><p> * <em>Cross-Platform Support:</em> Diagnose issues across both our mobile applications and web platforms.</p><p><em>What We Are Looking For</em></p><p> * <em>Education:</em> Bachelor’s degree in Computer Science or Software Engineering.</p><p> * <em>Core Skills:</em> Strong understanding of client-server architecture, REST APIs, and HTTP methods/status codes.</p><p> * <em>Mobile Experience:</em> Hands-on experience or academic projects involving Mobile Development (e.g., React Native, Android, iOS).</p><p> * <em>Web Experience:</em> Basic familiarity with Web Development (frontend fundamentals or frameworks).</p><p> * <em>Debugging Tools:</em> Proficiency with browser DevTools (Network tab) and API clients like Postman.</p><p> * <em>Mindset:</em> Highly analytical problem-solver with excellent communication skills to translate technical errors for non-technical teams.</p><p><strong>Requirements</strong></p><ul><li><p>Bachelor's degree in Computer Science or Software Engineering or equivelant </p></li><li><p>Strong understanding of client-server architecture, REST APIs, and HTTP methods/status codes</p></li><li><p>Hands-on experience or academic projects in Mobile Development (React Native, Android, or iOS)</p></li><li><p>Basic familiarity with Web Development (frontend fundamentals or frameworks)</p></li><li><p>Proficiency with browser DevTools (Network tab) and API clients like Postman</p></li><li><p>Highly analytical problem-solver with strong communication skills to explain technical issues to non-technical teams</p></li></ul><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Support market research by gathering and analyzing market data and trends as well as sales data.</p> <p>We are looking for a <strong>PX (Product Experience) Associate Researcher</strong> to join our team in Egypt, within a <strong>dynamic, collaborative, and fast paced environment</strong>, supporting the development of products that consumers love through actionable insights.</p> <p><strong>The points on which You will make the difference</strong></p> <ul> <li>Support PX research activities and contribute to project execution alongside PX Researchers.</li> <li>Participate in project meetings, help define appropriate sensory and/or consumer methodologies, and execute studies according to internal quality standards.</li> <li>Organize and run sensory sessions (sample preparation, serving, data collection).</li> <li>Support discrimination and screening tests, including participant coordination and sample preparation.</li> <li>Assist with data cleaning, analysis, and reporting using PX templates; present results under supervision.</li> <li>Ensure proper planning and execution of sensory activities, managing priorities and solving operational challenges.</li> <li>Work closely with Technical (flavorists, designers) and Commercial teams to ensure alignment between product development and business needs.</li> <li>Participate in cross functional project reviews and propose sensory/consumer support where relevant.</li> </ul> <p><strong>Why Join Us?</strong></p> <ul> <li>At IFF, we bring science and creativity together to create meaningful product experiences.</li> <li>Joining our PX team means developing your expertise through <strong>hands on experience, coaching, and continuous learning</strong>, while contributing to innovative solutions that support our customers and delight consumers worldwide.</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Why You are the right candidate</strong></p> <ul> <li>Bachelor s or Master s degree in Sensory Science, Psychology, Food Science, or related fields.</li> <li>1 2 years of experience in sensory, consumer, or market research (entry level profiles welcome).</li> <li>Strong curiosity and learning agility, with interest in consumer insights and product experience.</li> <li>Good organizational skills and attention to detail.</li> <li>Ability to manage multiple priorities in a dynamic environment.</li> <li>Proficiency in Microsoft Office tools (Excel, PowerPoint, Word).</li> <li>Fluent in English (written and spoken).</li> </ul><p></p></section>

<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>

About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L<br>Role Overview:The Mathematical Systems & Abstract Reasoning Engineer is responsible for developing advanced reasoning datasets that evaluate and improve the capabilities of Large Language Models (LLMs). This role involves designing novel mathematical systems, defining custom rules and axioms, and creating rigorous reasoning challenges that require models to interpret definitions, perform symbolic computations, derive properties, and construct logically sound proofs. The ideal candidate combines deep expertise in abstract mathematics with exceptional analytical and communication skills to produce self-contained, verifiable, and high-quality evaluation tasks. What does day-to-day look like:PhD / Doctorate Designed and defined novel mathematical systems, operations, and axiomatic frameworks for reasoning evaluations. Authored multi-step reasoning tasks involving symbolic manipulation, expression evaluation, and proof-based problem solving. Developed deterministic solutions, detailed reasoning traces, and comprehensive scoring rubrics for model assessment. Identified and addressed edge cases, ambiguities, and logical inconsistencies to ensure task robustness and reproducibility. Collaborated with reviewers and AI/LLM teams to refine task definitions, evaluation criteria, and dataset quality standards.<br>Required Qualifications:Strong foundation in abstract mathematics, formal logic, algebraic structures, discrete mathematics, or theoretical computer science. Minimum 2 years of experience in mathematics, computer science, data science, logic, or a related analytical discipline. Proven ability to create structured reasoning problems that assess both conceptual understanding and procedural accuracy. Excellent written communication skills with the ability to document rigorous definitions, proofs, and reasoning processes. Experience evaluating LLM reasoning performance or developing AI training and assessment datasets is preferred.<br>Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies. Potential for contract extension based on performance and project needs.<br>Offer Details:Commitments Required : 4 hours of overlap with PST. Engagement type : Contractor assignment/freelancer (no medical/paid leave) Duration of contract : 8 weeks.

About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L<br>Role Overview:The Mathematical Systems & Abstract Reasoning Engineer is responsible for developing advanced reasoning datasets that evaluate and improve the capabilities of Large Language Models (LLMs). This role involves designing novel mathematical systems, defining custom rules and axioms, and creating rigorous reasoning challenges that require models to interpret definitions, perform symbolic computations, derive properties, and construct logically sound proofs. The ideal candidate combines deep expertise in abstract mathematics with exceptional analytical and communication skills to produce self-contained, verifiable, and high-quality evaluation tasks. What does day-to-day look like:PhD / Doctorate Designed and defined novel mathematical systems, operations, and axiomatic frameworks for reasoning evaluations. Authored multi-step reasoning tasks involving symbolic manipulation, expression evaluation, and proof-based problem solving. Developed deterministic solutions, detailed reasoning traces, and comprehensive scoring rubrics for model assessment. Identified and addressed edge cases, ambiguities, and logical inconsistencies to ensure task robustness and reproducibility. Collaborated with reviewers and AI/LLM teams to refine task definitions, evaluation criteria, and dataset quality standards.<br>Required Qualifications:Strong foundation in abstract mathematics, formal logic, algebraic structures, discrete mathematics, or theoretical computer science. Minimum 2 years of experience in mathematics, computer science, data science, logic, or a related analytical discipline. Proven ability to create structured reasoning problems that assess both conceptual understanding and procedural accuracy. Excellent written communication skills with the ability to document rigorous definitions, proofs, and reasoning processes. Experience evaluating LLM reasoning performance or developing AI training and assessment datasets is preferred.<br>Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies. Potential for contract extension based on performance and project needs.<br>Offer Details:Commitments Required : 4 hours of overlap with PST. Engagement type : Contractor assignment/freelancer (no medical/paid leave) Duration of contract : 8 weeks.