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associate software engineer

machine learning engineer

MASTER-WORKS

<div><h3 class="jobSectionHeader"><b>Key Responsibilities</b></h3><h3 class="jobSectionHeader"><b>
AI &amp; Machine Learning Development</b></h3><ul>
<li>Develop text-based models and process both structured and unstructured data.
</li><li>Design and implement machine learning and deep learning models for specific business applications.
</li><li>Improve machine learning algorithms to enhance performance and accuracy.
</li><li>Apply deep learning frameworks such as <b>TensorFlow</b> and <b>PyTorch</b> to build and deploy neural networks.
</li></ul><h3 class="jobSectionHeader"><b>Data Management &amp; Feature Engineering</b></h3><ul>
<li>Manage and process large datasets, including cleaning, transforming, and extracting relevant features for model training.
</li><li>Ensure data accuracy, consistency, and reliability through data quality checks and validation.
</li><li>Develop and implement methods to improve data integrity, efficiency, and overall data quality.
</li></ul><h3 class="jobSectionHeader"><b>MLOps, Deployment &amp; Monitoring</b></h3><ul>
<li>Use <b>MLOps</b> tools and practices to monitor, optimize, and deploy AI solutions.
</li><li>Develop <b>A/B Testing</b> mechanisms, model quality assessments, and hypothesis validation.
</li><li>Evaluate machine learning models and ensure they meet performance expectations.
</li></ul><h3 class="jobSectionHeader"><b>Technical Support &amp; Collaboration</b></h3><ul>
<li>Translate business data needs into clear technical system requirements.
</li><li>Provide training and technical support to end users on how to effectively use machine learning models.
</li><li>Collaborate with cross-functional teams including business analysts and IT specialists to ensure smooth integration of advanced analytics.
</li></ul><h3 class="jobSectionHeader"><b>Documentation &amp; Security</b></h3><ul>
<li>Prepare all required technical documentation according to organizational standards.
</li><li>Implement security measures to protect sensitive data and manage appropriate access levels for machine learning systems and models.
</li></ul><h3 class="jobSectionHeader"><b>Innovation &amp; Continuous Improvement</b></h3><ul>
<li>Evaluate and recommend new tools and methods that enhance AI and machine learning capabilities.
</li><li>Support advanced analytics initiatives to uncover innovative insights.
</li></ul><p></p><p><b>Requirements</b></p><p></p><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><ul>
<li>Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Analytics, or related field.
</li><li><b>4+ years of experience</b> in machine learning and deep learning.
</li><li>Certifications in data analytics or machine learning systems.
</li><li>Practical experience with:
</li><li><ul><li><b>SAS</b>
</li><li><b>Dataiku</b>
</li></ul></li><li>Experience in both public and private sectors, preferably within <b>Saudi Arabia</b>.
</li><li>Strong background in data analytics and delivering multiple projects in the same field.
</li><li>Ability to work collaboratively with multi-functional teams to ensure seamless integration of advanced analytics.
</li></ul><p></p><h3 class="jobSectionHeader"><b>Required Skills</b></h3><ul>
<li>Strong expertise in ML and deep learning algorithms.
</li><li>Excellent data analysis and feature engineering skills.
</li><li>Strong understanding of MLOps frameworks.
</li><li>Excellent communication skills and the ability to produce high-quality technical documentation.</li></ul></div>

Machine Learning & AI Engineer - Immediate Hiring

Devoteam

<div>
 <strong>
  Tech for People Unlocks the Future
  <br/>
  <br/>
 </strong>
 At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us.
 <br/>
 <br/>
 With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.
 <br/>
 <br/>
 <strong>
  Devoteam Culture &amp; Values:
  <br/>
  <br/>
 </strong>
 True innovation is born from a powerful culture, fused with meaningful values.
 <br/>
 <br/>
 <strong>
  Culture:
  <br/>
  <br/>
 </strong>
 <strong>
  Fair and courageous
  <br/>
  <br/>
 </strong>
 Everyone is treated fairly &ndash; this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it.
 <br/>
 <br/>
 <strong>
  Ambition and results
  <br/>
  <br/>
 </strong>
 Ambition is nurtured at every step &ndash; this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint.
 <br/>
 <br/>
 <strong>
  Learning and innovating
  <br/>
  <br/>
 </strong>
 Curiosity and learning are at our core &ndash; this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence.
 <br/>
 <br/>
 <strong>
  Caring and sharing
  <br/>
  <br/>
 </strong>
 A caring attitude is infused into our culture &ndash; this encourages sharing. We believe in the power of teams, we promote support and collaboration.
 <br/>
 <br/>
 At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers,
 <br/>
 <br/>
 <strong>
  Values:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Respect
  </li>
  <li>
   Frankness
  </li>
  <li>
   Passion
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Knowing that success is the result of collaboration. Alone, we go faster, but together, we go further.
 <br/>
 <br/>
 To know more about us, please visit: www.devoteam.com
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 As a Senior Data Scientist\Machine Learning Engineer at Devoteam, you will be responsible for developing, implementing, and optimizing advanced data-driven algorithms, including classification, regression, recommender systems, and user segmentation models. You will collaborate with cross-functional teams to identify opportunities for improvement and deliver impactful insights that drive business success
 <br/>
 <br/>
 Key responsibilities :
 <br/>
 <br/>
 <ul>
  <li>
   Identifying relevant data sources for business needs.
  </li>
  <li>
   Processing, cleansing, and Organising data into usable formats.
  </li>
  <li>
   Conduct in-depth research and analysis on large datasets to uncover hidden patterns, correlations, and trends
  </li>
  <li>
   Apply data mining techniques such as association rule discovery, classification, and clustering
  </li>
  <li>
   Conduct thorough EDA to understand underlying patterns, correlations, and anomalies in complex datasets
  </li>
  <li>
   Transform and preprocess raw data to create meaningful features that can improve model performance.
  </li>
  <li>
   Develop, evaluate, and deploy predictive machine learning models to drive actionable insights.
  </li>
  <li>
   Communicate complex data findings in a clear and concise manner to non-technical stakeholders
  </li>
  <li>
   Stay up-to-date with the latest advancements in data science, machine learning, and industry best practices, continuously seeking opportunities to improve methodologies and processes.
  </li>
  <li>
   Advanced Technical Skills: Mastery of programming languages like Python or R, expertise in data manipulation, machine learning algorithms, and statistical analysis.
  </li>
  <li>
   Data Manipulation:** Proficiency in working with large datasets, data cleaning, preprocessing, and transforming data into usable formats.
  </li>
  <li>
   Machine Learning Expertise:** Experience in selecting and implementing appropriate machine learning algorithms, model evaluation, hyperparameter tuning, and dealing with bias and fairness issues.
  </li>
  <li>
   Build conversational AI applications.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Engineering, IT or equivalent
  </li>
  <li>
   + 7 year experience within the data science field.
  </li>
  <li>
   Has a strong knowledge and proven experience in following areas: SQL, statistics , machine learning and programming
  </li>
  <li>
   Strong expertise in various supervised and unsupervised machine learning algorithms such as Time Series Forecasting ,regression ,Clustering,Classification and deep learning methods
  </li>
  <li>
   Experience working with Agile methodologies
  </li>
  <li>
   Ability to communicate with both technical and non-technical audiences
  </li>
  <li>
   Excellent English and Arabic communication skills (written &amp; spoken)
  </li>
  <li>
   Analytical mindset and Problem-solving skills
  </li>
  <li>
   Alteryx or Dataiku experience is a must
  </li>
  <li>
   MLOps experience is a plus
  </li>
  <li>
   Practical Knowledge of big data systems is a plus
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional Information
  <br/>
  <br/>
 </strong>
 BU: Data Intelligence
 <br/>
 <br/>
 Senio Level
</div>


Senior Data Scientist

Mozn

<div>
 <strong>
  About Mozn
  <br/>
  <br/>
 </strong>
 Mozn is a rapidly growing and leading data science &amp; product development firm based in Riyadh with a proven track record of excellence in supporting and growing the analytics ecosystem in Saudi Arabia. Mozn is a trusted analytics partner for the largest government organizations in Saudi Arabia, as well as many large corporations and startups. We are in a critical stage of scaling the company to build institutional analytics knowledge within Mozn and Saudi Arabia. It is an exciting time to work in Saudi Arabia; through Vision 2030, the rate of social and industrial change is staggering.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We are searching for a strategic and inquisitive Data Scientist. As a member of Mozn&rsquo;s Data Science team, you will work with cross-disciplinary teams to identify the problems to be solved, specify the problems in mathematical and statistical terms, scope out the project/product in collaboration with your team and external stakeholders, and then go about answering the identified questions. You find insights that spur teams and stakeholders to improve their business/product and drive value for internal and external stakeholders.
 <br/>
 <br/>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work with cross-functional teammates from engineering, products, business, and marketing to deliver data-powered solutions.
  </li>
  <li>
   Communicate highly technical results and methods clearly to a wide variety of external clients.
  </li>
  <li>
   Analyze and extract insights from multiple and complex datasets through regression analysis, hypothesis testing, and other machine learning techniques.
  </li>
  <li>
   Develop and apply new machine learning techniques to ensure modern yet optimal approaches are applied to Mozn&rsquo;s solutions.
  </li>
  <li>
   Develop data pipelines and ingestion engines for Natural Language Understanding and/or Risk Management; as well as contribute to current engines at Mozn.
  </li>
  <li>
   Engage with stakeholders to identify and define the scope of challenges and propose data-powered solutions.
  </li>
  <li>
   Staying informed with new frameworks and technological advances to increase Mozn&rsquo;s efficiency and productivity.
  </li>
  <li>
   Coordinate with internal teams to set up and execute solution development strategies.
  </li>
  <li>
   Overseeing a large technical area of work, defining project priorities, and technical solutions.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   B.S. or M.S. in Computer Science, Statistics, Mathematics, or similar quantitative fields.
  </li>
  <li>
   Relevant experience as a data scientist, or in similar fields that require developing ML/AI models. Over 3 years for B.S. degree and over 2 years for M.S.
  </li>
  <li>
   Programming experience over two years in software development, including object-oriented programming, and data manipulation using Python or other languages.
  </li>
  <li>
   Good understanding of statistics and probability, such as Hidden Markov Models, Probabilistic Graphical models, or Bayesian inference.
  </li>
  <li>
   Applied experience in machine learning, such as diagnosing models and modifying loss functions.
  </li>
  <li>
   Experience in deep learning frameworks, such as PyTorch.
  </li>
  <li>
   Expertise in Natural Language Understanding and/or Probabilistic Machine Learning applications.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <strong>
  <strong>
   Why Mozn?
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
  </li>
  <li>
   You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
  </li>
  <li>
   The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
  </li>
  <li>
   You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
  </li>
  <li>
   We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.
  </li>
 </ul>
</div>


Senior Data Scientist - Riyadh

<div>
 <strong>
  About Mozn
  <br/>
  <br/>
 </strong>
 Mozn is a rapidly growing technology firm revolutionising the field of Artificial Intelligence and Data Science headquartered in Riyadh, Saudi Arabia and it&rsquo;s working to realise Vision 2030 with a proven track record of excellence in supporting and growing the tech ecosystem in Saudi Arabia and the GCC region. Mozn is the trusted AI technology partner for some of the largest government organizations, as well as many large corporations and startups.
 <br/>
 <br/>
 We are in an exciting stage of scaling the company to provide AI-powered products and solutions both locally and globally that ensure the growth and prosperity of our digital humanity. It is an exciting time to work in the field of AI to create a long-lasting impact.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We are searching for a strategic and inquisitive Data Scientist. As a member of Mozn's Data Science team, you will work with cross-disciplinary teams to identify the problems to be solved, specify the problems in mathematical and statistical terms, scope out the project/product in collaboration with your team and external stakeholders, and then go about answering the identified questions. You find insights that spur teams and stakeholders to improve their business/product and drive value for internal and external stakeholders.
 <br/>
 <br/>
 <strong>
  <strong>
   What you&rsquo;ll d
  </strong>
 </strong>
 <strong>
  <strong>
   o
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Work with cross-functional teammates from engineering, products, business, and marketing to deliver data-powered solutions.
  </li>
  <li>
   Communicate highly technical results and methods clearly to a wide variety of external clients.
  </li>
  <li>
   Analyze and extract insights from multiple and complex datasets through regression analysis, hypothesis testing, and other machine learning techniques.
  </li>
  <li>
   Develop and apply new machine learning techniques to ensure modern yet optimal approaches are applied to Mozn's solutions.
  </li>
  <li>
   Develop data pipelines and ingestion engines for Natural Language Understanding and/or Risk Management; as well as contribute to current engines at Mozn.
  </li>
  <li>
   Engage with stakeholders to identify and define the scope of challenges and propose data-powered solutions.
  </li>
  <li>
   Plan and execute solutions' development from data gathering to intelligent decision making.
  </li>
  <li>
   Staying informed with new frameworks and technological advances to increase Mozn's efficiency and productivity.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   B.S. or M.S. in Computer Science, Statistics, Mathematics or similar quantitative fields.
  </li>
  <li>
   3-5 years of Relevant experience as a data scientist, or similar fields that require developing ML/AI models. Over 2 years for B.S. degree and over 1 year for M.S.
  </li>
  <li>
   Programming experience over two years in object oriented programming, including data manipulation using Python or other languages.
  </li>
  <li>
   Good understanding of statistics and probability, such as Bayesian methods and conditional probability.
  </li>
  <li>
   Applied experience in machine learning, such as conducting model experiments.
  </li>
  <li>
   Experience in version control systems, such as Git, GitHub.
  </li>
  <li>
   Programming experience in SQL or NoSQL is preferred.
  </li>
  <li>
   Familiarity with big data technologies, such as Spark.
  </li>
  <li>
   Experience in deep learning frameworks, such as PyTorch.
  </li>
  <li>
   Expertise in Natural Language Understanding and/or Risk Management applications.
  </li>
  <li>
   Familiarity with containerization frameworks, such as Docker.
  </li>
  <li>
   Research experience in optimization and natural language processing (NLP).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
  </li>
  <li>
   You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
  </li>
  <li>
   The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
  </li>
  <li>
   You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
  </li>
  <li>
   We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.
  </li>
 </ul>
</div>


Data Scientist III

Raqmiyat

<div><div><h3 class="jobSectionHeader"><b>Job Information</b></h3>
<ul><div><p>Date Opened</p>
<div><b>12/30/2025</b><b>
</b></div></div><div><p>Job Type</p>
<div><b>Full time</b><b>
</b></div></div><div><p>Job Opening Status</p>
<div><b>In-progress</b><b>
</b></div></div><div><p>Work Experience</p>
<div><b>4-5 years</b><b>
</b></div></div><div><p>Industry</p>
<div><b>Technology</b><b>
</b></div></div><div><p>City</p>
<div><b>Riyadh</b><b>
</b></div></div><div><p>State/Province</p>
<div><b>Riyadh</b><b>
</b></div></div><div><p>Country</p>
<div><b>Saudi Arabia</b><b>
</b></div></div><div><p>Zip/Postal Code</p>
<div><b>11564</b><b>
</b></div></div></ul></div><div><h3 class="jobSectionHeader"><b>About Us</b></h3>
<div><div>Raqmiyat is a UAE-based IT and digital transformation company specializing in consulting, staffing, and enterprise technology solutions. We empower banking, government, and enterprise clients across the Middle East to achieve their digital objectives.</div><br>
</div><p></p><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<div><p><b>Key Responsibilities:</b></p><ul><li><p><br>
Design, develop, and deploy <b>AI and machine learning models</b> to support smart city and enterprise use cases.</p></li><li><p><br>
Perform <b>predictive analytics</b> to forecast trends, optimize operations, and support data-driven decision-making.</p></li><li><p><br>
Design and manage <b>city-wide performance dashboards</b> using <b>Power BI, Tableau, or similar BI tools</b>.</p></li><li><p><br>
Integrate data from multiple sources to create unified analytics and reporting platforms.</p></li><li><p><br>
Ensure data quality, governance, and compliance with data protection standards.</p></li><li><p><br>
Collaborate with smart systems, IT, and business stakeholders to translate requirements into analytical solutions.</p></li><li><p><br>
Monitor model performance, continuously improve accuracy, and maintain documentation.</p></li><li><p><br>
Support advanced reporting, visualization, and insights generation for leadership and control centers.</p></li></ul><div></div><h3 class="jobSectionHeader"><b><br>
Requirements</b></h3><p></p><div><b>
Qualification:</b><br>
</div><div>
Bachelor&rsquo;s degree in Computer Science, Mathematics, Statistics, or a related field.</div><p></p><div><b><br>
Experience:</b><br>
</div><div>
Minimum <b>5+ years</b> of experience in <b>AI, data science, and advanced analytics</b>.</div><p></p><p><b><br>
Required Skills &amp; Competencies:</b></p><ul><li><p><br>
Strong expertise in <b>AI/ML modeling and predictive analytics</b></p></li><li><p><br>
Proficiency in <b>Power BI, Tableau</b>, or equivalent visualization tools</p></li><li><p><br>
Experience with data pipelines, data integration, and large datasets</p></li><li><p><br>
Knowledge of statistical analysis, data modeling, and performance KPIs</p></li><li><p><br>
Strong problem-solving, communication, and stakeholder management skills</p></li></ul><p><b><br>
Preferred Certifications (Optional):</b></p><ul><li><p><br>
Microsoft Power BI Data Analyst</p></li><li><p><br>
Data Science or Machine Learning certifications</p></li><li><p><br>
Cloud-based AI certifications (AWS, Azure)</p></li></ul></div></div></div><p></p>

AI & Data Science Expert

Capgemini

<div><div><div><p>RIYADH</p><div>
Data Scientist</div><p>
</p></div></div><div></div><div><div><div><div><div><p>
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world&rsquo;s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&amp;D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.</p><div><div><div><div>
Your Role</div></div><div><p>
We are seeking a highly analytical and innovative Data Scientist to join our team. The ideal candidate will be responsible for extracting insights from complex datasets, building predictive models, and supporting data-driven decision-making across manufacturing operations.</p><p><b>
Key responsibilities of this role:</b></p><ul><li>
Collect, clean, and preprocess structured and unstructured data from various sources.</li><li>
Develop and implement statistical models, machine learning algorithms, and data mining techniques.</li><li>
Perform exploratory data analysis to identify trends, patterns, and anomalies.</li><li>
Translate business problems into analytical solutions and communicate findings effectively.</li><li>
Collaborate with cross-functional teams to integrate data science solutions into business processes.</li><li>
Create visualizations and dashboards to present insights to stakeholders.</li><li>
Continuously monitor model performance and update models as needed.</li><li>
Document methodologies, experiments, and results for reproducibility and knowledge sharing.</li></ul></div></div><div><div><div>
Your Profile</div></div><div><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.</li><li>
2&ndash;5 years of experience in data science or advanced analytics, preferably in a manufacturing context.</li><li>
Proficiency in Python, R, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow).</li><li>
Experience with data visualization tools such as Power BI, Tableau, or matplotlib.</li><li>
Strong understanding of statistical analysis, predictive modeling, and data wrangling.</li><li>
Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and big data technologies.</li><li>
Excellent problem-solving and communication skills.</li><li>
Experience with Agile/Scrum methodologies is a plus.</li></ul></div></div><div><div><div>
What You&rsquo;ll Love About Working Here
</div></div><div></div><div><div><ul><li><p>Flexible Work Arrangements&mdash;Work remotely or adjust work hours for a balanced lifestyle.
</p></li></ul></div><div><ul><li><p>Career Growth Opportunities&mdash;Access diverse roles and career development programs.
</p></li></ul></div><div><ul><li><p>Training &amp; Certifications&mdash;Equip yourself with valuable certifications in emerging technologies.
</p></li></ul></div></div></div></div><p>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.</p></div></div><div><div><div>
<div><div>Ref. code</div><div>
284565-en_US</div></div><div><div>
Posted on</div><div>
17 Jul 2025</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Fixed Term Contract</div></div><div><div>
Location</div><div>
RIYADH</div></div><div><div>
Business unit</div><div>
Engineering and RandD Services</div></div><div><div>
Brand</div><div>
Capgemini Engineering</div></div><div><div>
Professional communities</div><div>
Software Engineering</div></div></div></div></div></div></div></div></div><p></p>

Data Scientist

TMC Middle East

<div>
 <p>
  TMC Middle East is currently engaged in a consulting project with one of the Top Client in KSA.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are seeking a highly capable expert to join our client for this prestigious assignment.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role:
  </strong>
 </p>
 <p>
  Position: Senior AI &amp; Data Scientist
 </p>
 <p>
  Location: Onsite &ndash; Riyadh, Saudi Arabia
 </p>
 <p>
  Experience: 10+ Years
 </p>
 <p>
  Department: Data &amp; AI Department
 </p>
 <p>
  <br/>
 </p>
 <p>
  TMC is hiring a Lead AI Data Scientist for a strategic digital transformation initiative for a major company in KSA.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Qualifications:
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  - Expertise in Python, ML frameworks (Scikit-learn, TensorFlow, PyTorch), and data
 </p>
 <p>
  libraries (Pandas, NumPy).
 </p>
 <p>
  - Strong foundation in statistics, machine learning, and applied AI (forecasting, NLP,
 </p>
 <p>
  Internal Only
 </p>
 <p>
  optimization).
 </p>
 <p>
  - Familiarity with containerized deployments (OpenShift, Docker).
 </p>
 <p>
  - Experience building APIs/microservices (FastAPI, Flask) for model integration.
 </p>
 <p>
  - Exposure to cloud ecosystems (Azure, GCP, AWS) is very useful for hybrid or scalable
 </p>
 <p>
  deployments.
 </p>
 <p>
  - Awareness of Generative AI concepts (LLMs, embeddings, RAG, prompt design).
 </p>
 <p>
  - Working understanding of Agile delivery frameworks (Scrum/Kanban).
 </p>
 <p>
  Consulting &amp; Behavioral Skills
 </p>
 <p>
  - Excellent presentation and insight-sharing abilities, capable of explaining complex AI
 </p>
 <p>
  outputs to diverse audiences.
 </p>
 <p>
  - Professional, composed, and business-aware consulting demeanor.
 </p>
 <p>
  - Strong collaboration and documentation discipline within Agile teams.
 </p>
 <p>
  - Demonstrated curiosity and commitment to continuous learning and innovation.
 </p>
 <p>
  - Self-driven, structured, and dependable under PMO governance.
 </p>
 <p>
  <br/>
 </p>
 <p>
  - Master&rsquo;s degree in computer science, Data Science, or related field.
 </p>
 <p>
  - 10+ years of professional experience, including 5+ years in AI/ML delivery.
 </p>
 <p>
  - Prior experience in enterprise or industrial AI projects preferred.
 </p>
 <p>
  - Familiarity with OpenShift or hybrid/on-prem MLOps environments is advantageous.
 </p>
</div>


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