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machine learning engineer

TMC Middle East

<div>
 
 
 About the Role:
 
 
 
 We are looking for a Senior Machine Learning Engineer to lead the design, deployment, and optimization of machine learning and generative AI solutions. The role focuses on applying advanced ML techniques to solve real-world challenges across government and enterprise clients in Saudi Arabia.
 
 
 
 
 
 
 What You'll Do:
 
 
 <ul>
 <li>
 Design, build, and scale machine learning models and infrastructure.
 </li>
 <li>
 Deploy deep learning and generative models into production for public and private sector projects.
 </li>
 <li>
 Collaborate with data scientists, product managers, and stakeholders to deliver AI-driven insights.
 </li>
 <li>
 Optimize ML training and inference for performance, latency, and scalability.
 </li>
 <li>
 Monitor, retrain, and improve deployed ML models.
 </li>
 <li>
 Drive consultation efforts, providing expert guidance to client stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science or related field.
 </li>
 <li>
 4+ years of experience in ML engineering, data science, and generative AI.
 </li>
 <li>
 Strong track record of projects across public and private sectors.
 </li>
 <li>
 Expertise in Python, TensorFlow, PyTorch, ONNX, and ML deployment frameworks.
 </li>
 <li>
 Expertise in containerization and orchestration technologies (Docker, Kubernetes), with hands-on experience in ML lifecycle management (MLflow) and local LLM deployment frameworks (Ollama).
 </li>
 <li>
 Skilled in on-premise infrastructure design and enterprise architecture frameworks, with strong adherence to security and compliance best practices.
 </li>
 <li>
 Deep understanding of hardware provisioning for local LLM deployments (GPU, RAM, and storage optimization) and secure network configurations for internal AI services.
 </li>
 <li>
 Experience with cloud ML environments (SageMaker, Vertex AI, OCI Data Science).
 </li>
 <li>
 Familiarity with MLOps practices and automation pipelines.
 </li>
 </ul>
 
 
</div>

Machine Learning Engineer

Hudhud Maps

<div>As a Senior Machine Learning Engineer specializing, you will lead the development and implementation of machine learning algorithms and models to enhance our mapping and location-based services. You will be responsible for leveraging machine learning techniques to extract insights, automate processes, and improve the accuracy and relevance of our map data.
Key Responsibilities:
<ul><li>Algorithm Development: Lead the design, development, and optimization of machine learning algorithms and models for various mapping applications, including data analysis, feature extraction, image processing, and predictive modeling.</li><li>
Data Processing and Analysis: Collaborate with data engineers to preprocess, clean, and analyze map data, including satellite imagery, LiDAR data, and point cloud data, to extract relevant features and patterns.</li><li>
Model Training and Evaluation: Train, validate, and evaluate machine learning models using large-scale datasets to achieve high accuracy, robustness, and scalability for mapping applications, such as road detection, object recognition, and semantic segmentation.</li><li>
Integration and Deployment: Integrate machine learning models into existing mapping systems and workflows, ensuring seamless deployment and interoperability with other software components. Collaborate with software engineers to develop APIs and interfaces for model integration.</li><li>
Performance Optimization: Optimize machine learning algorithms and models for performance, efficiency, and scalability, including algorithm parallelization, hardware acceleration, and deployment on cloud platforms.</li><li>
Research and Innovation: Stay updated on the latest advancements in machine learning, computer vision, and geospatial technologies, and apply innovative techniques to solve mapping-related challenges and drive continuous improvement.</li></ul>
Qualifications:
<ul><li>Master's or Ph.D. degree in computer science, machine learning, artificial intelligence, or a related field.</li><li>
 5 years of experience in machine learning research and development, with a focus on computer vision, geospatial analysis, or mapping applications.</li><li>
Proficiency in machine learning frameworks and libraries, such as TensorFlow, PyTorch, and OpenCV.</li><li>
Strong programming skills in Python, C++, or another relevant language, with experience in software development and version control systems.</li><li>
Experience with geospatial data processing and analysis tools, such as GDAL, PostGIS, and QGIS.</li><li>
Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.</li><li>
Effective communication and leadership skills, with experience mentoring junior team members and collaborating with cross-functional teams.</li></ul></div>

Senior Machine Learning Engineer

atmaal

<div>
 <ul>
 <li>
 
 Data Scientist
 
 </li>
 </ul>
 
 
 
 
 Location: Riyadh, Saudi Arabia (On-site)
 
 
 
 
 
 A Data Scientist is at the forefront of turning data into actionable intelligence through advanced analytics, machine learning, and Gen AI capabilities. They work closely with business stakeholders to solve complex problems, identify trends, and drive strategic decisions through predictive and prescriptive modeling, and other advanced analytics techniques.
 
 
 
 
 <ul>
 <li>
 
 Department
 
 </li>
 </ul>
 
 
 
 
 Digital (Advanced Analytics CoE)
 
 
 
 
 <ul>
 <li>
 
 Years of Experience
 
 </li>
 </ul>
 
 
 
 
 5-10 years of proven experience in Data Science, Machine Learning, or Advanced Analytics &mdash; including hands-on work with cloud-based data platforms, predictive modeling, and visualization tools.
 
 
 
 
 <ul>
 <li>
 
 Key Responsibilities
 
 </li>
 </ul>
 
 &bull; Collaborate with business units to understand strategic objectives and translate them into data science problems and use cases.
 
 
 &bull; Design and develop predictive models such as regression, classification, forecasting, and segmentation to uncover patterns and anticipate future trends.
 
 
 &bull; Leverage prescriptive analytics techniques including optimization algorithms, scenario modeling, and advanced machine learning to recommend actionable strategies.
 
 
 &bull; Apply NLP techniques for use cases like sentiment analysis, text classification, and entity extraction from unstructured data sources.
 
 
 &bull; Conduct exploratory data analysis (EDA) to understand data behavior, identify anomalies, and discover hidden patterns that can drive further analysis.
 
 
 &bull; Utilize Gen AI capabilities for tasks like content summarization, code generation, and automated extraction of meaningful insights from large volumes of text.
 
 
 &bull; Develop and deploy analytical solutions using platforms like Vertex AI for model development, and Power BI for insight visualization, ensuring seamless integration with business workflows.
 
 
 &bull; Communicate complex analytical findings through intuitive visualizations and storytelling techniques that resonate with technical and non-technical audiences.
 
 
 &bull; Continuously validate and refine models to ensure accuracy, reliability, and alignment with evolving business needs.
 
 
 &bull; Document methodologies, model assumptions, and workflows to promote reproducibility and transparency across the data science lifecycle.
 
 
 
 
 
 ⸻
 
 
 
 
 
 Expertise Required
 
 
 &bull; Power BI
 
 
 &bull; BigQuery
 
 
 &bull; Google Cloud Platform (GCP)
 
 
 &bull; Google Cloud Storage
 
 
 &bull; Vertex AI
 
 
 &bull; Python
 
 
 &bull; Strong technical proficiency and business acumen
 
</div>

Data Scientist

First Gulf Company

<div>
 
 We are seeking a
 
 Data Scientist (Consultant)
 
 to provide expertise across our data science initiatives. You will support advanced analytical projects, apply machine learning and statistical modeling to solve business challenges, and help optimize platform usage to maximize data-driven insights.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Support and guide advanced analytics use cases.
 </li>
 <li>
 Apply data science techniques to address complex business problems.
 </li>
 <li>
 Optimize project delivery using existing platforms (
 
 Teradata
 
 and
 
 Dataiku
 
 ).
 </li>
 <li>
 Identify opportunities to enhance decision-making with data insights.
 </li>
 <li>
 Collaborate with cross-functional teams and contribute to innovation.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s in
 
 Statistics, Computer Science, or related field
 
 .
 </li>
 <li>
 10+ years of experience in data science or analytics.
 </li>
 <li>
 Strong proficiency in
 
 Python
 
 and
 
 SQL
 
 (Teradata experience preferred).
 </li>
 <li>
 Experience with
 
 Dataiku
 
 and Teradata Vantage ClearScape Analytics.
 </li>
 <li>
 Knowledge of
 
 machine learning
 
 ,
 
 statistical modeling
 
 ,
 
 data wrangling
 
 , and
 
 model optimization
 
 .
 </li>
 <li>
 Experience in
 
 MLOps
 
 , model deployment, and monitoring.
 </li>
 <li>
 Excellent analytical, communication, and leadership skills.
 </li>
 </ul>
 
 
 
 
 
 We welcome applications from professionals committed to leveraging data to support strategic business decisions and deliver measurable value.
 
 
</div>

Mozn

<div>
 
 About Mozn
 
 
 
 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.
 
 
 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.
 
 
 
 About The Role
 
 
 
 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.
 
 
 
 
 What you&rsquo;ll d
 
 
 
 
 o
 
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <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 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).
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <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>

Emdad By Elm

<div>
 
 
 Job Description:
 
 
 
 The Data Scientist will play a pivotal role in transforming business objectives into actionable data-driven insights. This mid-career position demands a proactive individual equipped with strong analytical capabilities, programming proficiency, and a deep understanding of statistical modeling. The successful candidate will leverage large datasets to address complex business challenges, utilizing machine learning algorithms, data mining techniques, and predictive analytics. The candidate will also engage in cross-functional collaborations, presenting findings to stakeholders, and effectively communicating technical concepts to non-technical audiences. Continuous learning and adaptation to emerging technologies will be essential to enhance the organization's data analytics framework.
 
 
 
 
 
 
 Job Requirements:
 
 
 <ul>
 <li>
 3+ years in data science/analytics with large datasets.
 </li>
 <li>
 Proficiency in Python/R/SQL; strong statistics and hypothesis testing.
 </li>
 <li>
 Hands-on ML (classification/regression/clustering) with models deployed to production and iteratively improved.
 </li>
 <li>
 Data visualization for decision-making (Tableau/Power BI/Matplotlib).
 </li>
 <li>
 Strong communication skills for non-technical audiences.
 </li>
 <li>
 Nice to have: Cloud (AWS/GCP/Azure) and/or Big Data (Hadoop/Spark).
 </li>
 </ul>
 
 
 
 
 
 Job Responsibilities:
 
 
 <ul>
 <li>
 Build ML models; run EDA to uncover patterns and anomalies.
 </li>
 <li>
 Partner with Product/IT/Business to define analytics objectives.
 </li>
 <li>
 Deliver interactive dashboards and KPIs for leadership.
 </li>
 <li>
 Improve data capture quality; document methods and results.
 </li>
 <li>
 Mentor junior team members; adopt emerging best practices.
 </li>
 <li>
 Ensure data privacy/ethics and help evaluate analytics tools.
 </li>
 </ul>
 
 
 
 
 
 Required Skills:
 
 
 <ul>
 <li>
 Python/R with pandas, NumPy, scikit-learn.
 </li>
 <li>
 SQL, database querying/extraction.
 </li>
 <li>
 Deep learning frameworks (TensorFlow/Keras) for advanced use cases.
 </li>
 <li>
 Basic project management: prioritization, timelines, deadlines.
 </li>
 <li>
 High integrity and confidentiality with sensitive data.
 </li>
 </ul>
 
 
</div>

AIQU

<div>
 
 
 Role :
 
 Data Science Advisory - Customer Facing Data Scientist
 
 
 
 Location
 
 : Riyadh , Saudi Arabia
 
 
 
 Contract
 
 : 6 Months extendable
 
 
 
 
 
 
 
 
 
 About the Role
 
 
 
 As part of the Data Science team, you will collaborate closely with customers and bring expertise in data science and AI to help them achieve their organization&rsquo;s objectives. You&rsquo;ll work with clients in various industries on diverse use cases and with stakeholders in business (executive, line of business) and technical (data science, engineering, analytics).
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 Post-sales:
 
 
 <ul>
 <li>
 Be the product and data science subject matter expert to our customers by leading implementation, advising on the viability and execution of use cases, helping to develop Joint Success Plans (JSP), and leading their execution.
 </li>
 <li>
 Ensure the success of our customers by helping to achieve quantifiable Value Realization Indicators&mdash;leading to renewals, expansions, and furthering the growth of both our customers and the company.
 </li>
 <li>
 Act as a trusted advisor on AI across the customer lifecycle; enable customers to solve complex data science problems &ndash; including problem framing, data preparation, scripting, model building, model deployment, model management, and output consumption.
 </li>
 </ul>
 
 
 General:
 
 
 <ul>
 <li>
 Act internally as the voice of the customer to the Product, Engineering, and Marketing teams.
 </li>
 <li>
 Present at conferences and/or help create other marketing content.
 </li>
 </ul>
 
 
 Key Relationships:
 
 
 <ul>
 <li>
 Collaborate across the GTM organization, including Sales, Customer Success, and other Applied AI Experts teams.
 </li>
 <li>
 Provide feedback from the field to colleagues in Product Management, Engineering, and Customer Support.
 </li>
 </ul>
 
 
 Knowledge, Skills, and Abilities:
 
 
 <ul>
 <li>
 English &amp; Arabic speaking
 </li>
 <li>
 Familiarity with consultative sales processes in the data/analytics marketplace
 </li>
 <li>
 Experience dealing with complex customer organizations
 </li>
 <li>
 Hands-on experience building and implementing machine learning or AI models
 </li>
 <li>
 Familiarity with a variety of technical tools for the manipulation of data
 </li>
 <li>
 Ability to understand, write, and collaborate with Python or R
 </li>
 <li>
 Experience collaborating with business stakeholders to ensure that machine learning solutions deliver successful business outcomes
 </li>
 <li>
 Excellent project management and organizational abilities
 </li>
 <li>
 Regional travel may be required
 </li>
 </ul>
 
 
 Requisite Education and Experience / Minimum Qualifications:
 
 
 <ul>
 <li>
 4+ years of experience either in a pre-sales role or in Data Science/predictive modeling. Strong candidates with 2+ years of experience as a pre-sales or post sales data scientist will also be considered.
 </li>
 <li>
 2+ years of experience in customer-facing roles.
 </li>
 <li>
 Bachelor&rsquo;s degree, preferably in a quantitative subject.
 </li>
 <li>
 Strong customer interaction, communication, writing, and interpersonal skills.
 </li>
 </ul>
 
 
</div>

Data Science Advisory- Customer Facing

Explore 621+ Machine learning engineer in Riyadh Saudi Arabia this November. Find roles across top companies and apply now to boost your career.

621 machine learning engineer jobs IN Riyadh Saudi Arabia

Machine Learning Engineer

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Data Science Advisory- Customer Facing