senior software engineer

senior data scientist

senior ai engineer

senior data analyst

senior devops engineer

senior scientist

Envision Employment Solutions

<div>
 
 
 Envision Employment Solutions
 
 is currently hiring a
 
 Senior Data Scientist
 
 for one of our partners, a global leader in IT Services and IT Consulting.
 
 
 
 
 
 
 
 
 
 Job Summary:
 
 
 
 We are seeking a highly experienced Senior Data Scientist to design, build, and deploy advanced machine learning and NLP solutions, including large language model applications. The ideal candidate has strong production experience, deep expertise in transformer-based architectures, and a proven ability to lead technical initiatives from research to deployment.
 
 
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 Machine Learning &amp; NLP Development
 
 
 <ul>
 <li>
 Design and develop end-to-end machine learning models, with a strong focus on NLP applications
 </li>
 <li>
 Fine-tune and deploy large language models such as GPT, BERT, and LLaMA for specific use cases
 </li>
 <li>
 Build, train, and evaluate deep learning models using TensorFlow, PyTorch, or Keras
 </li>
 <li>
 Implement Retrieval-Augmented Generation (RAG) and embedding-based semantic search solutions
 </li>
 <li>
 Develop and optimize transformer-based models for summarization, Q&amp;A, and document intelligence tasks
 </li>
 <li>
 Evaluate and optimize prompt engineering strategies and context efficiency
 </li>
 </ul>
 
 
 
 
 
 Data
 
 
 Engineering
 
 &amp; Pipelines
 
 <ul>
 <li>
 Develop data pipelines using tools such as Airflow, Spark, or Dataiku
 </li>
 <li>
 Perform data wrangling and preprocessing using pandas and NumPy
 </li>
 <li>
 Design and manage feature stores
 </li>
 <li>
 Integrate and manage vector databases such as Pinecone, FAISS, or Chroma
 </li>
 </ul>
 
 
 
 
 
 Model Deployment &amp; Production
 
 
 <ul>
 <li>
 Build and maintain RESTful APIs for serving ML models in production
 </li>
 <li>
 Deploy scalable AI services and manage CI/CD pipelines
 </li>
 <li>
 Monitor model performance, drift detection, and lifecycle management
 </li>
 <li>
 Conduct A/B testing, ensemble blending, and apply explainability techniques such as SHAP and LIME
 </li>
 </ul>
 
 
 
 
 
 Statistical &amp; Analytical Expertise
 
 
 <ul>
 <li>
 Apply advanced statistics, probability theory, and experimental design
 </li>
 <li>
 Conduct hypothesis testing and data-driven analysis to support business decisions
 </li>
 </ul>
 
 
 
 
 
 Collaboration &amp; Integration
 
 
 <ul>
 <li>
 Work closely with product and engineering teams to embed AI solutions into production systems
 </li>
 <li>
 Collaborate with cross-functional stakeholders to deliver scalable AI capabilities
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Requirements
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Artificial Intelligence, Computer Science, or related field
 </li>
 <li>
 Minimum 4 years of experience in machine learning and data science roles
 </li>
 <li>
 Proven track record of delivering production-grade ML and NLP projects
 </li>
 <li>
 Experience leading small data science teams or technical workstreams
 </li>
 </ul>
 
 
 
 
 
 Technical Requirements
 
 
 <ul>
 <li>
 Strong programming skills in Python and R
 </li>
 <li>
 Proficiency in ML libraries including Scikit-learn, pandas, and NumPy
 </li>
 <li>
 Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras
 </li>
 <li>
 Hands-on experience with NLP libraries including NLTK, spaCy, TextBlob, and Hugging Face Transformers
 </li>
 <li>
 Strong expertise in transformer architectures and LLM fine-tuning
 </li>
 <li>
 Experience using LangChain or LlamaIndex for orchestration
 </li>
 <li>
 Experience deploying ML models via RESTful APIs
 </li>
 <li>
 Knowledge of model monitoring, explainability, and performance optimization
 </li>
 </ul>
 
 
 
 
 
 Leadership and Soft Skills
 
 
 <ul>
 <li>
 Ability to lead small teams or project workstreams
 </li>
 <li>
 Strong ownership mindset with focus on quality and delivery timelines
 </li>
 <li>
 Ensures alignment of technical work with business KPIs
 </li>
 <li>
 Coaches and mentors mid-level team members
 </li>
 <li>
 Strong problem-solving and collaboration skills
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Benefits &amp; Work Setup
 
 
 <ul>
 <li>
 Basic salary
 </li>
 <li>
 Social insurance
 </li>
 <li>
 Family Medical Insurance (AXA)
 </li>
 <li>
 
 Location:
 
 New Cairo
 </li>
 <li>
 
 Work Model:
 
 Hybrid &ndash; 2 days in the office and 3 days remote. If assigned to a project, you may be required to work from the client&rsquo;s premises on a daily basis, depending on the project requirements.
 </li>
 <li>
 
 Working Hours:
 
 9 AM to 6 PM
 </li>
 <li>
 
 Days Off:
 
 Fridays and Saturday
 </li>
 </ul>
</div>

Senior Data Scientist

Celfocus

<div>
 
 Make an impact
 
 by working for sectors where technology is the enabler, everything is ground-breaking and there&rsquo;s a constant need to be innovative.
 
 
 
 Create and enhance projects
 
 in Java, Python, Angular, PHP, .NET and so much more while diving in the world of Blockchain, Artificial Intelligence, Data Science, Security and Internet of Things.
 
 
 
 Be part of the team
 
 that combines business knowledge, technological edge and a design experience. Our different backgrounds and know-how are key in developing solutions and experiences for digital clients.
 
 
 
 Face challenges
 
 and learn other ways of thinking and seeing the world - there&rsquo;s always room for your energy and creativity.
 
 
 
 About The Role
 
 
 
 As a Senior Data Scientist, you will be responsible for leading the design of solutions and managing the teams developing them within a project. You will also be responsible for selecting a team with the appropriate skillset or alternatively ensuring that the team acquires the required capabilities in due time. You must also ensure proper solution delivery, monitoring, and governance using MLOps.
 
 
 
 As a part of your job, you will:
 
 
 
 <ul>
 <li>
 Leverage data and domain knowledge to solve business problems and create quantifiable value.
 </li>
 <li>
 Work cross-functionally to define problem statements, collect data, build analytical models, and design suitable solutions.
 </li>
 <li>
 Build and maintain (or lead the development of) data-driven optimization models, experiments, forecasting algorithms, and capacity constraint models.
 </li>
 <li>
 Lead teams into delivering models using best MLOps practices.
 </li>
 <li>
 Communicate final recommendations and support decision-making.
 
 
 
 </li>
 </ul>
 
 What are we looking for?
 
 
 
 <ul>
 <li>
 Degree in an analytical field (e.g., Computer Science, Engineering, Mathematics, Statistics, Operations Research, Management Science);
 </li>
 <li>
 Scripting with Python and nice to have one of these languages (e.g., Pyspark, Spark-mllib);
 </li>
 <li>
 Experienced with packages such as NumPy, SciPy, Pandas, Scikit-learn, matplotlib, and tensorflow/pytorch;
 </li>
 <li>
 4-5 Years of project experience as a Data Scientist;
 </li>
 <li>
 Professional experience with Java, Scala, or Spark;
 </li>
 <li>
 Experience working with and leading teams in a project environment;
 </li>
 <li>
 Experience in delivering projects using MLOps best practices.
 
 
 
 </li>
 </ul>
 
 Nice to have:
 
 
 
 <ul>
 <li>
 1+ years of SQL experience;
 </li>
 <li>
 Experience in distribution-based architectures such as Cloudera, AWS, Microsoft Azure Cloud, and GCP (Google Cloud Platform), among others;
 </li>
 <li>
 Knowledge of Data Governance.
 
 
 
 </li>
 </ul>
 
 Personal traits
 
 
 
 <ul>
 <li>
 Ability to adapt to different contexts, teams and Clients;
 </li>
 <li>
 Teamwork skills but also a sense of autonomy;
 </li>
 <li>
 Motivation for international projects and ok if travel is included;
 </li>
 <li>
 Willingness to collaborate with other players;
 </li>
 <li>
 Strong communication skills.
 
 
 
 </li>
 </ul>
 At Celfocus, we are committed to cultivate a diverse and inclusive workplace. As an equal-opportunity employer, we welcome applicants of all backgrounds, gender identities, and abilities. We are dedicated to providing reasonable accommodations for candidates with specific needs. If you require any adjustments during the selection process, please inform our Talent Acquisition Team.
 
 
 
 Come join the Team!
 
 
 
 
 Celfocus is pioneering the future of business through Next-Gen Intelligence - the convergence of data, AI, and human creativity to build more autonomous and adaptive organisations.
 
 
 
 Guided by our core belief - Making Data Actionable - we partner with leading companies to co-create intelligent solutions that turn data into insight, agility, and business value.
 
 
 Operating in over 25 countries, we bring together business experts, data scientists, and AI engineers to turn complexity into clarity and vision into measurable impact.
 
 
 Founded in 2000, Celfocus is part of Novabase, listed on Euronext Lisbon.
 
 
 To know more, visit www.celfocus.com
</div>

NorthBay Solutions

<div>
 
 Senior Data Scientist &ndash; GenAI
 
 
 
 Experience:
 
 5&ndash;7 Years
 
 
 Location:
 
 Cairo, Egypt (Onsite)
 
 
 Employment Type:
 
 Full-Time
 
 
 About the Role
 
 
 NorthBay Solutions is seeking a
 
 Senior Data Scientist
 
 with strong expertise in
 
 GenAI and AI/ML
 
 . The candidate will build, fine-tune, and deploy AI/ML models, integrate them with enterprise systems, and support AI initiatives on cloud and hybrid infrastructures.
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Build, fine-tune, and deploy
 
 Large Language Models (LLMs)
 
 including LLAMA, Mistral, and GPT
 </li>
 <li>
 Implement
 
 Agentic AI
 
 , multi-agent systems, and RAG workflows
 </li>
 <li>
 Design, develop, and deploy
 
 AI/ML models
 
 integrated with enterprise systems
 </li>
 <li>
 Work with
 
 vector databases
 
 , LangChain, Langraph, and other GenAI toolchains
 </li>
 <li>
 Apply
 
 advanced prompt engineering
 
 and Chain-of-Thought techniques
 </li>
 <li>
 Deploy AI/ML models on
 
 cloud platforms
 
 (AWS, Azure, GCP) and maintain production pipelines
 </li>
 <li>
 Contribute to
 
 CI/CD pipelines
 
 and
 
 DevOps practices
 
 for AI/ML solutions
 </li>
 </ul>
 
 Technical Requirements
 
 <ul>
 <li>
 
 GenAI &amp; AI/ML Skills:
 
 2&ndash;3 years hands-on experience with LLMs and GenAI applications
 </li>
 <li>
 
 Programming &amp; ML Frameworks:
 
 Proficient in Python, TensorFlow, PyTorch
 </li>
 <li>
 
 Data &amp; Database Skills:
 
 SQL (PostgreSQL/MySQL) and NoSQL (MongoDB)
 </li>
 <li>
 
 API &amp; Integration:
 
 Experience with RESTful APIs, microservices, and model integration
 </li>
 <li>
 
 Cloud &amp; Deployment:
 
 Hands-on experience with AWS SageMaker, Lambda, Azure ML, or equivalent
 </li>
 </ul>
 
 Preferred Qualifications
 
 <ul>
 <li>
 Cloud certifications (AWS, Azure, or GCP)
 </li>
 <li>
 Agile/Scrum experience
 </li>
 <li>
 Strong communication skills to bridge technical and business stakeholders
 </li>
 </ul>
</div>

Senior Data Scientist – GenAI

Capgemini Invent

<div>
 At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.
 
 
 
 Job Description
 
 
 
 
 Machine Learning &amp; AI Solutions
 
 
 
 <ul>
 <li>
 Deploy advanced machine learning models and AI-driven solutions across cloud environments.
 </li>
 <li>
 Lead the end-to-end lifecycle of ML models, from data ingestion and feature engineering to model training, evaluation, and deployment.
 </li>
 <li>
 Monitor model performance and implement retraining strategies to ensure long-term accuracy and relevance.
 
 
 </li>
 </ul>
 
 Cloud &amp; Data Engineering
 
 
 
 <ul>
 <li>
 Architect and optimize scalable data pipelines and cloud-based infrastructures (Azure, AWS, or GCP) to support ML workloads.
 </li>
 <li>
 Collaborate with data engineers to ensure robust data preprocessing, transformation, and storage strategies.
 
 
 </li>
 </ul>
 
 MLOps &amp; Automation
 
 
 
 <ul>
 <li>
 Develop and maintain CI/CD pipelines tailored for ML workflows, including automated testing, model versioning, and deployment.
 </li>
 <li>
 Integrate monitoring and alerting systems to track model drift, data quality, and system performance.
 
 
 </li>
 </ul>
 
 Collaboration &amp; Innovation
 
 
 
 <ul>
 <li>
 Work closely with cross-functional teams including data scientists, product managers, and business stakeholders to translate business needs into technical solutions.
 </li>
 <li>
 Mentor junior engineers and contribute to knowledge sharing and best practices across the team.
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Strong proficiency in Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Strong command of SQL and experience with large-scale data processing tools (e.g., Spark, Pandas).
 </li>
 <li>
 Deep understanding of cloud platforms (Azure, AWS, GCP) and their ML services.
 </li>
 <li>
 Skilled in MLOps practices, including CI/CD, containerization (Docker), and orchestration (Kubernetes).
 </li>
 <li>
 Familiarity with Git and collaborative development workflows.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 6+ years of experience working with complex datasets and solving real-world business problems using AI
 </li>
 <li>
 Proven track record of deploying and maintaining ML models in production environments.
 
 
 </li>
 </ul>
 
 Communication Skills
 
 
 
 <ul>
 <li>
 Excellent written and verbal communication skills to collaborate effectively with cross-functional teams.
 </li>
 <li>
 Fluent in Qatari Arabic &amp; English, both spoken and written.
 
 
 </li>
 </ul>
 
 Additional Skills
 
 
 
 <ul>
 <li>
 Strong problem-solving abilities and attention to detail.
 </li>
 <li>
 Ability to work collaboratively in a team environment.
 </li>
 <li>
 Self-motivated with a continuous learning mindset.
 </li>
 <li>
 Team management.
 
 
 </li>
 </ul>
 Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
</div>

Careem

<div>
 
 About the Company
 
 
 
 Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.
 
 
 Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
 
 
 
 
 We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.
 
 
 
 
 
 About The Team
 
 
 
 The Careem Data Science team&rsquo;s mission is to drive competitive value from data at scale through building AI models to optimize user experiences, decision making, operational efficiencies, and lead the region&rsquo;s AI ecosystem. As one of the leaders in this team, you will be at the forefront of fulfilling this mission. You will be working with and leading the top data science talent of the region, leveraging AI to solve the region&rsquo;s day-to-day problems, through state-of-the-art machine learning, optimization, deep learning, and RL models, that are deployed on top of our own in-house AI platform, serving users in real-time.
 
 
 What you'll do
 
 
 <ul>
 <li>
 Build a long-term vision on how we can rethink our customer acquisition and engagement strategies, leveraging data in our decision making.
 </li>
 <li>
 Drive exploratory analysis to understand the ecosystem, user behavior, identify new levers to help move metrics, and build models of user behaviors for analysis and product enhancements.
 </li>
 <li>
 Shape and influence data/ML models and instrumentation to optimize the product experience and generate insights on new areas of opportunity and new products.
 </li>
 <li>
 Provide product leadership by sharing data-based recommendations to communicate state of business, root cause of change in metrics, and experimentation results influencing product and business decisions
 </li>
 <li>
 Implement scalable machine learning algorithms that will be used in production on big data.
 </li>
 <li>
 Embark on exploratory data analysis projects to achievea better understanding of phenomena as well as to discover untapped areas of growth and optimization.
 </li>
 <li>
 Answer complex analytic questions from big data sets to help Careem shape its products and services in a better way.
 </li>
 <li>
 Help define and track the appropriate key metrics for specific projects.
 </li>
 <li>
 Design and run randomized controlled experiments, analyze the resulting data, and communicate results with other teams.
 </li>
 <li>
 You will always challenge the status quo and continually investigate new data processing technologies and seek to ensure that we follow the industry best practices.
 
 
 </li>
 </ul>
 What you'll need
 
 
 <ul>
 <li>
 Experience in data mining, predictive modeling, time series analysis, machine learning, Big Data methodologies, transformation and cleaning of both structured and unstructured data.
 </li>
 <li>
 Advanced degree in a quantitative discipline such as Physics, Statistics, Mathematics, Engineering or Computer Science.
 </li>
 <li>
 Strong problem solving and coding skills.
 </li>
 <li>
 Solid knowledge of and experience with marketplace problems in ride hailing and delivery services.
 </li>
 <li>
 Solid knowledge of AB testing, classic ML and DL
 </li>
 <li>
 Solid understanding of recommendations, learning to rank, uplift modeling and matching problems.
 </li>
 <li>
 Fluency in English along with excellent oral and written communication skills.
 </li>
 <li>
 Proficiency and demonstrated experience in: Python, SQL, Spark, Hive.
 </li>
 <li>
 Demonstrated experience with database technologies (e.g. Hadoop, BigQuery, Amazon EMR, Hive, Oracle, SAP, DB2, Teradata, MS SQL Server, MySQL).
 </li>
 <li>
 Demonstrated experience with business intelligence and visualization tools (Tableau, MicroStrategy, ChartIO, Qlik) along with geospatial data processing skills is a plus.
 </li>
 <li>
 Knowledge of Agile methodologies.
 </li>
 </ul>
</div>

Senior Data Scientist I

NielsenIQ

<div>
 
 As the world's largest research organization, NielsenIQ is powered by talented creative scientists. Our Data Scientist associates come from diverse disciplines such as statistics, research methodology, mathematics, psychology, business, engineering, physics and demography. These professionals drive innovation, new product ideation, develops complex analysis and delivery of data insights to measure what consumers buy.
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 
 <ul>
 <li>
 Own Data Science for a specific-market/industry on new and already established products, services and design
 </li>
 <li>
 Be a Data Science business partner for managing directors, commercial, product, and technology leaders to achieve country specific goals including revenue and EBITDA and other objectives
 </li>
 <li>
 Regularly meet directly with clients to understand strategic business needs, translate them into analytical strategies and offer innovative solutions driven through state of the art methodologies in Data Science
 </li>
 <li>
 Support Client and Commercial teams with Data Science design and methodological questions
 </li>
 <li>
 Play a leading role in the application of data and analytics strategies in support of clients&rsquo; business needs
 </li>
 <li>
 Innovate and create out of the box solutions by leveraging large and diverse data sets and state of the art technologies
 </li>
 <li>
 Collaborate and align with other Data Science team units to deliver and prioritize objectives
 </li>
 <li>
 Enable Data Science technology solutions on the ground and ensure solutions meets client needs
 </li>
 <li>
 Leverage Product Enhancement, Product and Technology teams to bring to the market services and solutions
 </li>
 </ul>
 
 
 
 Experience
 
 
 
 
 
 <ul>
 <li>
 Professionals with degrees in Maths, Data Science, Statistics, or related fields involving statistical analysis of large data sets
 </li>
 <li>
 3-5+ years of experience in market research or relevant field
 </li>
 <li>
 Solid understanding of CPG/FMCG Industry and Retail market impact on client&rsquo;s business within the market
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 Passionate about innovation and technology
 </li>
 <li>
 Experienced connecting with stakeholders and clients proactively, finding ways to link client's needs with the business
 </li>
 <li>
 Innovative mindset, creativity, thinking out-of-the-box
 </li>
 <li>
 Good ability to effectively convey complex concepts to non-experts
 </li>
 <li>
 Strong Problem-Solving skills
 </li>
 <li>
 Intellectual curiosity and persistence to find answers to questions
 </li>
 <li>
 Great collaborative and interpersonal skills to communicate at all levels
 </li>
 <li>
 Ability to set priorities
 </li>
 <li>
 Good leadership skills
 </li>
 <li>
 Business acumen, consultative skills and empathy for clients
 </li>
 <li>
 Great command of written and spoken English
 </li>
 <li>
 Eager to continuously learn and adapt to changing technologies and tools
 </li>
 <li>
 Good ability to make decisions and successfully manage multiple assignments concurrently in a high pressure environment
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 
 Our Benefits
 
 
 
 
 <ul>
 <li>
 Flexible working environment
 </li>
 <li>
 Volunteer time off
 </li>
 <li>
 LinkedIn Learning
 </li>
 <li>
 Employee-Assistance-Program (EAP)
 </li>
 </ul>
 
 NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including r&eacute;sum&eacute; screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ&rsquo;s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ&rsquo;s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 About NIQ
 
 
 
 
 
 NIQ is the world&rsquo;s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights&mdash;delivered with advanced analytics through state-of-the-art platforms&mdash;NIQ delivers the Full View&trade;. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world&rsquo;s population.
 
 
 
 
 For more information, visit NIQ.com
 
 
 
 
 Want to keep up with our latest updates?
 
 
 
 
 Follow us on: LinkedIn | Instagram | Twitter | Facebook
 
 
 
 
 
 
 Our commitment to Diversity, Equity, and Inclusion
 
 
 
 
 
 At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion
 
 
 
</div>

Senior Data Scientist  (Statistics)

HireOn

<div>
 
 Senior Data Scientist &ndash; GenAI (Generative AI)
 
 
 
 Experience: 6+ Years
 
 
 Location: Cairo, Egypt (onsite;
 
 in-office job
 
 )
 
 
 Employment Type: Full-Time
 
 
 
 About The Role
 
 
 
 Our client, a global AWS Consulting Partner with distributed teams across the US, Canada, UAE and Asian region, is hiring
 
 high-caliber Senior Generative AI Engineers.
 
 
 
 This role is ideal for someone who has
 
 6+ years
 
 of software engineering and AI/ML experience and is now focused on
 
 tool-using LLMs, LangChain, AutoGPT, or similar frameworks
 
 .
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and architecture of AI-powered enterprise solutions.
 </li>
 <li>
 Drive technical decisions across infrastructure, databases, APIs, microservices, and AI components.
 </li>
 <li>
 Deploy LLMs and GenAI applications in production environments.
 </li>
 <li>
 Work on prompt engineering, Chain-of-Thought, and advanced AI/ML techniques.
 </li>
 <li>
 Integrate AI/ML models with enterprise systems for high performance and scalability.
 </li>
 <li>
 Work with technical teams, ensuring knowledge transfer and best practices.
 </li>
 <li>
 Work on AI/ML projects from conceptualization to delivery, including cloud and hybrid deployments.
 </li>
 <li>
 Work on multi-agent systems, and RAG workflow implementations.
 
 
 </li>
 </ul>
 
 Technical Requirements
 
 
 
 <ul>
 <li>
 GenAI Expertise: Hands-on experience with LLM fine-tuning and production deployment.
 </li>
 <li>
 AI/ML &amp; Enterprise Architecture: Experience in Python, TensorFlow, PyTorch, full-stack development, Kubernetes, SQL/NoSQL databases, APIs, and microservices.
 
 
 </li>
 </ul>
 Skills: langchain,embedding models,autogpt,llm frameworks,rag,gemini,vector databases,crewai,generative ai,semantic kernel,prompt engineering,openai,agentic ai,ai application development,llama2,agents
</div>

Senior Data Scientist - AI/ML (Generative AI)

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Senior Data Scientist – GenAI

Senior Data Scientist

Senior Data Scientist I

Senior Data Scientist (Statistics)

Senior Data Scientist - AI/ML (Generative AI)