data scientist (machine learning engineer)

data analyst

principal data scientist

ai developer

data engineer (databricks + pyspark) Jobs in Egypt

data engineer (databricks + pyspark)

data scientist (machine learning engineer) Jobs in Egypt

data scientist

RATP Dev Mobility Cairo

<div>
 <strong>
  Job Purpose
  <br/>
  <br/>
 </strong>
 The Data Scientist is responsible for leveraging data to generate insights, support decision-making, and enhance operational efficiency. The role focuses on analyzing complex datasets from various business systems (such as timetables, schedules, ridership data, and maintenance systems) and translating them into actionable intelligence. This includes developing data-driven models, creating dynamic visualizations, and collaborating with stakeholders to improve data adoption and utilization across the organization.
 <br/>
 <br/>
 <strong>
  Responsibilities/Duties
  <br/>
  <br/>
 </strong>
 <strong>
  Profil de candidat recherch&eacute; :
  <br/>
  <br/>
 </strong>
 <strong>
  Data Science &amp; Analytics
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Perform data transformations, cleaning, and preprocessing to ensure quality and reliability.
  </li>
  <li>
   Design, test, and implement machine learning and AI models to support predictive and operational needs.
  </li>
  <li>
   Maintain and update a library of analytical tools, scripts, and programs.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Business Intelligence &amp; Visualization
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, develop, and maintain interactive dashboards and reporting solutions using Power BI, Qlik Sense, and other tools.
  </li>
  <li>
   Build dynamic visualizations that support decision-making across operations and maintenance functions.
  </li>
  <li>
   Document processes and maintain user guides to ensure smooth adoption of reporting solutions.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Collaboration &amp; Communication
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner with internal departments to define data needs, establish data streams, and enhance KPI tracking.
  </li>
  <li>
   Liaise with software vendors and internal teams to ensure desired system features and performance are met.
  </li>
  <li>
   Clearly communicate findings and explain complex concepts to both technical and non-technical stakeholders.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Continuous Improvement &amp; Knowledge Sharing
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Identify opportunities to restructure source data and influence the adoption of cleaner data structures.
  </li>
  <li>
   Provide training sessions, short briefs, and knowledge-sharing activities to upskill colleagues.
  </li>
  <li>
   Promote the use of company data tools, AI models, and portals to increase adoption and business value.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Safety Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Promote a positive safety culture within the workplace and attend any safety-related meetings or briefings as required within the job role.
  </li>
  <li>
   Comply with the requirements of RDMC RQHSE Policy and Safety Management System.
  </li>
  <li>
   Be mindful that Safety, Security, and Environmental protection are everyone&rsquo;s responsibility.
  </li>
  <li>
   All staff members are accountable for reporting and intervening in any Safety, Security, or Environmental violations.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <strong>
  ESSENTIAL QUALIFICATIONS, KNOWLEDGE &amp; EXPERIENCE
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Computer Engineering, Mathematics, or a related STEM field.
  </li>
  <li>
   Additional certifications in Data Science, Machine Learning, AI, or data visualization technologies are an advantage.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Knowledge
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proficiency in English; French is a plus.
  </li>
  <li>
   Strong understanding of relational databases (SQL Server, MySQL, Oracle, etc.) with the ability to write queries.
  </li>
  <li>
   Knowledge of data visualization and analytics concepts.
  </li>
  <li>
   Ability to develop practical solutions using data.
  </li>
  <li>
   Proficiency in Microsoft Office applications.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3&ndash;5 years of relevant experience in data science, software development, or data analysis.
  </li>
  <li>
   Hands-on experience in programming (Python, C++ or similar).
  </li>
  <li>
   Practical experience with data visualization tools (Power BI, Qlik, Excel).
  </li>
  <li>
   Proven track record of delivering data science projects as a hands-on implementer.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Desired Behaviors &amp; Experiences
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Demonstrates curiosity and persistence in identifying insights and creating business value.
  </li>
  <li>
   Able to work independently and collaborate effectively within a team environment.
  </li>
  <li>
   Communicates clearly and confidently, both verbally and in writing, to different audiences.
  </li>
  <li>
   Show adaptability and flexibility when working with diverse stakeholders.
  </li>
  <li>
   Strong problem-solving skills with the ability to manage competing priorities.
  </li>
  <li>
   Takes initiative, meets deadlines, and shows accountability for results.
  </li>
 </ul>
</div>


Data Scientist

Al Ahly Momkn

<div>
 A subsidiary of Al Ahly Capital, Al Ahly Momkn is a fast-evolving Fin-tech company committed to promoting secure, convenient &amp; seamless payment solutions and financial services for business owners, service providers and consumers across Egypt.
 <br/>
 <p>
  At Al Ahly Momkn, we foster a culture of innovation, collaboration, and personal growth.
  <br/>
 </p>
 <p>
  We believe in empowering our employees to unleash their full potential and make a real impact in their roles. As part of our team, you'll have the opportunity to work on exciting projects, learn from industry experts, and be part of a supportive and inclusive community.
  <br/>
  <br/>
 </p>
 1- Data Collection &amp; Preparation:
 <br/>
 <ul>
  <li>
   Collect, clean, and pre process data from various sources to support analysis and modeling activities.
   <br/>
  </li>
  <li>
   Ensure datasets are structured, reliable, and ready for exploratory and predictive analysis.
   <br/>
  </li>
  <li>
   Support data quality checks and assist in improving data consistency.
   <br/>
   <br/>
  </li>
 </ul>
 2- Exploratory Data Analysis (EDA):
 <br/>
 <ul>
  <li>
   Conduct exploratory data analysis to identify trends, patterns, anomalies, and key business insights.
   <br/>
  </li>
  <li>
   Assist in interpreting customer behavior and performance metrics across fin-tech products and services.
   <br/>
  </li>
  <li>
   Provide analytical summaries to support decision-making.
   <br/>
   <br/>
  </li>
 </ul>
 3- Predictive Modeling &amp; Machine Learning Support:
 <br/>
 <ul>
  <li>
   Assist in developing, testing, and evaluating predictive models and machine learning solutions.
   <br/>
  </li>
  <li>
   Support feature engineering and model validation processes.
   <br/>
  </li>
  <li>
   Measure model performance using appropriate evaluation metrics.
   <br/>
   <br/>
  </li>
 </ul>
 4- Visualization &amp; Reporting
 <br/>
 <ul>
  <li>
   Create dashboards, visualizations, and reports to communicate insights effectively.
   <br/>
  </li>
  <li>
   Present findings in a clear format tailored for both technical and non-technical audiences.
   <br/>
  </li>
  <li>
   Contribute to creating recurring performance reporting and ad-hoc analytics outputs
   <br/>
   <br/>
  </li>
 </ul>
 5- Cross-Functional Collaboration
 <br/>
 <ul>
  <li>
   Collaborate with Product, Tech, Operations, and other business stakeholders to translate business questions into analytical solutions.
   <br/>
  </li>
  <li>
   Support the development of data-driven recommendations and actionable insights.
   <br/>
  </li>
  <li>
   Participate in meetings and discussions to align analysis with business priorities.
   <br/>
   <br/>
  </li>
 </ul>
 6- Documentation &amp; Continuous Improvement
 <br/>
 <ul>
  <li>
   Document workflows, methodologies, and analytical processes to ensure clarity and reproducibility.
   <br/>
  </li>
  <li>
   Stay up to date with data science tools, techniques, and industry best practices.
   <br/>
  </li>
  <li>
   Suggest improvements to existing analytical approaches when relevant.
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Requirements
 <br/>
 <br/>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.
   <br/>
  </li>
  <li>
   0-3 Years of Experience in Data Science or similar role.
   <br/>
  </li>
  <li>
   Proficiency in Python/R, SQL, and familiarity with visualization tools.
   <br/>
  </li>
  <li>
   Understanding of basic machine learning algorithms and statistical methods.
   <br/>
  </li>
  <li>
   Strong analytical and problem‑solving skills with an eagerness to learn.
   <br/>
  </li>
  <li>
   Good communication skills to explain findings to both technical and non‑technical audiences.
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Benefits
 <br/>
 <br/>
 <ul>
  <li>
   Embark on an exciting journey with the Fin-Tech Experts.
   <br/>
  </li>
  <li>
   Join a workplace that actively encourages and supports all talents.
   <br/>
  </li>
  <li>
   A support system where you have a safe place to voice your opinion, share feedback, and be your true authentic self.
   <br/>
  </li>
  <li>
   Join us in our mission to accelerate financial inclusion and make financial freedom accessible to all.
   <br/>
  </li>
 </ul>
</div>


Finaira

<div>
 <p>
  The Principal Data Scientist will provide strategic technical leadership and direction for data science initiatives across the organization, particularly within the financial sector. This role is responsible for driving innovation, setting technical standards, mentoring a team of data scientists, and collaborating with senior stakeholders to define and deliver high-impact AI and machine learning solutions that align with business strategy and drive significant value.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The difference you will make
  </strong>
 </p>
 <ul>
  <li>
   Define the technical data science strategy and roadmap.
  </li>
  <li>
   Lead the research and development of cutting-edge AI solutions.
  </li>
  <li>
   Evaluate and implement new data science technologies and platforms.
  </li>
  <li>
   Provide technical leadership and guidance to the data science team.
  </li>
  <li>
   Ensure the scalability and reliability of data science infrastructure.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Education
  </strong>
 </p>
 <ul>
  <li>
   Master&rsquo;s degree or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field with an exceptional academic record
  </li>
 </ul>
 <p>
  <strong>
   Experience:
  </strong>
 </p>
 <ul>
  <li>
   8+ years of progressive experience in data science, with more than 2 years spent leading and successfully delivering complex AI/ML projects with demonstrable business impact
  </li>
  <li>
   Extensive and deep experience in the financial services industry, with a comprehensive understanding of financial data, regulations, and business challenges
  </li>
  <li>
   Proven experience in leading and mentoring data science teams
  </li>
  <li>
   A strong portfolio showcasing the successful application of AI/ML to solve significant financial problems (e.g., transformative fraud prevention systems, advanced risk management platforms, high-impact algorithmic trading strategies, game-changing customer analytics solutions)
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Technical Skills:
  </strong>
 </p>
 <ul>
  <li>
   Expert-level mastery in multiple programming languages relevant to data science (e.g., Python, R, Scala, Java) and their associated libraries and frameworks.
  </li>
  <li>
   Deep and comprehensive expertise across a wide range of machine learning frameworks, including advanced knowledge of deep learning architectures and specialized tools.
  </li>
  <li>
   Exceptional understanding of both foundational and cutting-edge statistical concepts and ML algorithms, including deep learning architecture and specialized tools.
  </li>
  <li>
   Deep understanding of Data and AI governance frameworks and requirements.
  </li>
  <li>
   Advanced mathematical skills, demonstrating a strong theoretical understanding and practical application to complex financial problems.
  </li>
  <li>
   Expert-level proficiency in SQL and a variety of database management systems (both relational and NoSQL), with the ability to design and optimize data storage and retrieval for large-scale AI/ML applications.
  </li>
  <li>
   Extensive experience with advanced data visualization tools and the ability to communicate complex insights to executive audiences through compelling visuals and narratives.
  </li>
  <li>
   Deep and practical experience with cloud computing platforms (AWS, Azure, GCP) and their comprehensive suite of AI/ML services, including architecting and deploying scalable solutions.
  </li>
  <li>
   Proven expertise in designing and working with large, complex data sets and big data technologies (Hadoop, Spark, etc.), including the ability to optimize data processing workflows for performance and scalability.
  </li>
  <li>
   Mastery of various distributed databases (Hive, Impala, Redis, etc.) and a proven ability to design and implement efficient data storage and access patterns for AI/ML workloads.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Soft Skills
  </strong>
 </p>
 <ul>
  <li>
   Strong ownership and accountability for assigned work.
  </li>
  <li>
   Clear and professional verbal and written communication.
  </li>
  <li>
   Effective time management and task prioritization.
  </li>
  <li>
   Analytical thinking and problem-solving skills.
  </li>
  <li>
   Ability to work independently, collaborate effectively and mentor junior team members.
  </li>
  <li>
   Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.
  </li>
  <li>
   Adaptability and learning agility in a fast-paced environment.
  </li>
  <li>
   Strong attention to detail and a commitment to quality.
  </li>
  <li>
   Receptiveness to feedback and continuous improvement mindset.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  .
 </p>
</div>


Principal Data Scientist

<div><p>The Principal Data Scientist will provide strategic technical leadership and direction for data science initiatives across the organization, particularly within the financial sector. This role is responsible for driving innovation, setting technical standards, mentoring a team of data scientists, and collaborating with senior stakeholders to define and deliver high-impact AI and machine learning solutions that align with business strategy and drive significant value.</p><p></p><p><b>
The difference you will make:</b></p><ul><li>
Define the technical data science strategy and roadmap.</li><li>
Lead the research and development of cutting-edge AI solutions.</li><li>
Evaluate and implement new data science technologies and platforms.</li><li>
Provide technical leadership and guidance to the data science team.</li><li>
Ensure the scalability and reliability of data science infrastructure.</li></ul><br>
<b>
Requirements</b><p><b><br>
Education:
</b></p><ul><li>Master&rsquo;s degree or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field with an exceptional academic record.</li></ul><p><b>
Experience:</b></p><ul><li>
8+ years of progressive experience in data science, with more than 2 years spent leading and successfully delivering complex AI/ML projects with demonstrable business impact.</li><li>
Extensive and deep experience in the financial services industry, with a comprehensive understanding of financial data, regulations, and business challenges.
</li><li>Proven experience in leading and mentoring data science teams.
</li><li>A strong portfolio showcasing the successful application of AI/ML to solve significant financial problems (e.g., transformative fraud prevention systems, advanced risk management platforms, high-impact algorithmic trading strategies, game-changing customer analytics solutions)</li></ul><p><b>
Technical Skills:
</b></p><ul><li>Expert-level mastery in multiple programming languages relevant to data science (e.g., Python, R, Scala, Java) and their associated libraries and frameworks.</li><li>
Deep and comprehensive expertise across a wide range of machine learning frameworks, including advanced knowledge of deep learning architectures and specialized tools.</li><li>
Exceptional understanding of both foundational and cutting-edge statistical concepts and ML algorithms, including deep learning architecture and specialized tools.</li><li>
Deep understanding of Data and AI governance frameworks and requirements.
</li><li>Advanced mathematical skills, demonstrating a strong theoretical understanding and practical application to complex financial problems.
</li><li>Expert-level proficiency in SQL and a variety of database management systems (both relational and NoSQL), with the ability to design and optimize data storage and retrieval for large-scale AI/ML applications.</li><li>
Extensive experience with advanced data visualization tools and the ability to communicate complex insights to executive audiences through compelling visuals and narratives.
</li><li>Deep and practical experience with cloud computing platforms (AWS, Azure, GCP) and their comprehensive suite of AI/ML services, including architecting and deploying scalable solutions.
</li><li>Proven expertise in designing and working with large, complex data sets and big data technologies (Hadoop, Spark, etc.), including the ability to optimize data processing workflows for performance and scalability.
</li><li>Mastery of various distributed databases (Hive, Impala, Redis, etc.) and a proven ability to design and implement efficient data storage and access patterns for AI/ML workloads.</li></ul><p><b>
Soft Skills:</b></p><ul><li>
Strong ownership and accountability for assigned work.
</li><li>Clear and professional verbal and written communication.</li><li>
Effective time management and task prioritization.</li><li>
Analytical thinking and problem-solving skills.</li><li>
Ability to work independently, collaborate effectively and mentor junior team members.</li><li>
Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.</li><li>
Adaptability and learning agility in a fast-paced environment.</li><li>
Strong attention to detail and a commitment to quality.</li><li>
Receptiveness to feedback and continuous improvement mindset.</li></ul><p></p><p>
Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.</p></div>

Integrant

<div><p>We Are Hiring!</p><p>
Integrant is looking for game changers to join our team as &quot;Principal - Data Scientist&quot; with below roles and responsibilities:</p><p></p><ul>
<li>Use mathematics, statistics and computer science to extract knowledge and insights from structured, semi-structured and unstructured data in order to assist our clientele to make better data driven decisions.</li>
<li>Conduct open research when necessary to develop new algorithms and methods to address specific needs a client might have to which no known algorithms or methods could suffice as a solution.</li>
<li>Engage in activities of requirement elicitation with our clientele in regards to potential data science workloads.</li>
<li>Mentor junior members on the team in data science.</li>
Deliver machine learning models to clients and contribute in knowledge transfer.<br>
<li>
</li></ul><br>
<br>
<b>Requirements</b><br>
<ul>
<li>All in all experience around 7 years.</li>
<li>5+ years of experience with Data Science workloads.</li>
<li>MSc in Computer Science or other equivalent quantitative field.</li>
<li>Familiarity with classification, clustering, regression and association rule mining.</li>
<li>Familiarity with one or more standard open source machine learning frameworks (Sklearn, Tensorflow, Keras, etc.).</li>
<li>Familiarity with Azure Cognitive Services and Azure ML.</li>
<li>Familiarity with AWS SageMaker.</li>
<li>Experience with deploying models to production.</li>
<li>Experience with monitoring models post production and detecting concept drift.</li>
<li>Familiarity with Deep Learning.</li>
<li>Extensive experience with Python.</li>
<li>Familiarity with conducting open scientific research.</li>
</ul><p></p>Nice to Have<ul>
<li>Familiarity with Re-enforcement Learning.</li>
<li>Familiarity with Stochastic Local Search Methods.</li>
<li>Familiarity with MLOps on Azure.</li>
<li>Familiarity with MLOps on AWS.</li>
<li>Familiarity with building data pipelines on Azure.</li>
<li>Familiarity with building data pipelines on AWS.</li>
<li>Familiarity with single and multi-objective optimization techniques</li><br>
</ul><br>
<br>
<b>Benefits</b><br>
<ul>
<li>Salary paid in USD</li>
<li>Six-month career advancing opportunities</li>
<li>Employee parking space</li>
<li>Supportive and friendly work environment</li>
<li>Premium medical insurance [employee +family]</li>
<li>English language development courses</li>
<li>Interest-free loans paid over 2.5 years</li>
<li>Technical development courses</li>
<li>Planned overtime program (POP)</li>
<li>Employment referral program</li>
<li>Premium location in Maadi &amp; Nasr City</li>
<li>Social insurance</li>
<li>Opportunity to travel and work onsite with U.S. customers</li>
<li>In-house Technical and English training programs</li>
<li>Dedicated learning time (check out our 4Plus1 Program)</li>
<li>Flexible work schedules</li>
<li>Perks: events, sponsored lunch, game area, rooftop hangout + more!</li></ul></div>

B LABS

<div><p>b_labs is the transformation and digitization arm of B.TECH, on a mission to change the industry as we know it. We spearhead tech innovation at B.TECH, an organization that has been a cornerstone of the Egyptian retail industry. We are the engine powering B.TECH in achieving its goal of becoming the leading omni-channel platform for consumer electronics and appliances in Egypt. By joining b labs, you will get to benefit from a collaborative startup environment, while also enjoying the stability of working within a company that has achieved strong growth year after year. You will be part of a visionary, customer-focused team with an ambitious mission-to become a trailblazer for digital retail within the Middle East.</p><p></p><p><b>
Responsibilities</b></p><ul><li>
Collaborates with business partners to develop novel ways to meet objectives utilizing cutting edge techniques and tools</li><li>
Effectively communicates the analytics approach and how it will meet and address objectives to business partners</li><li>
Advocates and educates on the value of data driven decision-making focusing on the &ldquo;how and why&rdquo; of solving problems
</li><li>Leads analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers</li><li>
Creates repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products</li><li>
Shares passion for data science with broader enterprise community; identifies and develops long-term processes, frameworks, tools, methods and standards</li><li>
Stays connected with external sources of ideas through conferences and community engagements</li></ul><br>
<b>
Requirements</b><br>
<ul><li>
Holds a degree in Data Science, Computer Science, Engineering, Statistics, Applied Mathematics</li><li>
5+ years experience as data scientist with a track record of working within high paced environments</li><li>
Experience in defining analytical approach for complex systems including several ML models
</li><li>Strong experience with Python (incl. proficiency working with data frames)</li><li>
Strong experience of writing complex SQL queries</li><li>
Strong experience with Machine Learning to solve supervised and unsupervised problems on large scale data sets</li><li>
Proven ability to merge and transform various data sets together to create new features
</li><li>Strong experience with big data technologies (Spark is required, other experiences is a plus)</li><li>
Strong experience with supporting deployment, monitoring, maintenance and enhancement of models desired</li><li>
Experience with Quality Assurance and model validation approaches</li><li>
Experience with data visualization tools preferred &ndash; Tableau, Power BI, R Shiny, Plotly, etc.</li><li>
Strong experience in agile ways of working across an interdisciplinary team</li><li>
Collaborates with Product Manager, Scrum Master, Design Lead and rest of technical team.</li>
Strong verbal and written communication skills with ability to deliver complex messages, explain trade-offs, and tell a compelling story &ndash; also for corporate stakeholders<br>
<li>
</li></ul><br>
<br>
<b>Benefits</b><p><b><br>
Office environment</b>: When you come to our b_labs office, you'll find creative workspaces, a well-equipped kitchen, and an open design to foster collaboration between teams.</p><p><b>
Education budget</b>: We believe the learning journey never ends, therefore you will be entitled to an annual education budget to take part in trainings, courses or onsite conferences of your choice.
</p><p><b>Flexibility:</b> You know best whether you want to work from home or in the office. However, if you want to join your teammates onsite, we will subsidize the costs for lunch to foster the b_labs office community</p><p><b>
Mobility package</b>: When you are joining the b_labs office, we will subsidize your mobility expenses for public transport.
</p><p><b>Equipment</b>: From &quot;Day 1&quot; you will receive all the equipment you need be successful at work. Therefore, you can choose your laptop and get all the tools you need to stay on top of your game.</p></div>

Senior Data Scientist

Capgemini

<div><div><div><p>Cairo</p><div>
Data Scientist (Machine Learning Engineer)</div><p>
</p></div></div><p></p><div><div><div><div><div><div>
About Capgemini</div><div>
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. The Group reported 2024 global revenues of &euro;22.1 billion.</div><div>
</div><div></div><p>Job Responsibities:</p><p><br>
Machine Learning &amp; AI Solutions</p><ul><li>
Design and implement Agentic AI solutions and applications.</li><li>
Experience in Data Science, Data Mining, Machine Learning tasks (e.g. feature engineering, model training, evaluation, and deployment).</li><li>
Monitor model performance and implement retraining strategies to ensure long-term accuracy and relevance.</li></ul><p>
Cloud &amp; Data Engineering</p><ul><li>
Collaborate with data engineers to ensure robust data preprocessing, transformation, and storage strategies.</li></ul><p>
MLOps &amp; Automation</p><ul><li>
Familiarity with CI/CD pipelines tailored for ML workflows, including automated testing, model versioning, and deployment.</li></ul><p>
Collaboration &amp; Innovation</p><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>
Contribute to knowledge sharing and best practices across the team.</li></ul><p>
</p><p>Job Requirements:</p><p>
</p><p>Technical Skills:</p><ul><li>
Strong proficiency in python, data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and agentic application development libraries (e.g. LangChain, LangGraph).</li><li>
Strong command of SQL and experience with large-scale data processing tools (e.g., Spark, Pandas).</li><li>
Familiarity with cloud platforms (Azure, AWS, GCP) and their ML services.</li><li>
Familiarity with MLOps practices, including CI/CD, containerization (Docker), and orchestration (Kubernetes).</li><li>
Familiarity with Git and collaborative development workflows.</li></ul><p>
Experience:</p><ul><li>
2-5 years of experience in solving real-world business problems using AI</li></ul><ul><li>
Proven track record of deploying and maintaining ML models in production environments.</li></ul><p>
Communication Skills:</p><ul><li>
Excellent written and verbal communication skills to collaborate effectively with cross-functional teams.</li><li>
Fluent in Arabic &amp; English, both spoken and written (German is a plus!)</li><li>
Able to listen to and understand customer needs and articulate them as technical requirements to the team.</li></ul><p>
Additional Skills:</p><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></ul></div></div><div><div><div>
<div><div>Ref. code</div><div>
362478-en_US</div></div><div><div>
Posted on</div><div>
08 Mar 2026</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Permanent</div></div><div><div>
Location</div><div>
Cairo</div></div><div><div>
Business unit</div><div>
INVENT</div></div><div><div>
Brand</div><div>
Capgemini</div></div><div><div>
Professional communities</div><div>
Data &amp; AI</div></div></div></div></div></div></div></div></div><p></p>

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