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data ml engineers

Valleysoft

<div>Valleysoft | Center of Excellence is a regional IT services provider based in Riyadh, serving clients globally since 2006. The company collaborates with global partners like IBM to address diverse business and technical challenges, from enterprise application development to process management. Valleysoft's vendor-neutral and process-oriented approach, coupled with operational maturity, ensures high-quality and cost-effective services for clients.
Valleysoft | Center of Excellence is seeking talented Data &amp; ML Engineers to join our innovative team. As Data &amp; ML Engineers, you will be responsible for designing, developing, and implementing data-driven solutions and machine learning models to support our clients' business goals.
The ideal candidates will have a strong foundation in data engineering, machine learning, and software development, with proven experience in building scalable data pipelines and deploying machine learning solutions. They will also possess excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment. If you are passionate about data science and machine learning, we want to hear from you!<h3 class="jobSectionHeader">
Responsibilities</h3><ul>
<li>Design, build, and maintain scalable data pipelines for data ingestion, processing, and storage.</li>
<li>Collaborate with data scientists and stakeholders to understand data requirements and translate them into technical specifications.</li>
<li>Develop and deploy machine learning models for predictive and prescriptive analytics.</li>
<li>Implement and optimize data processing workflows using big data technologies and frameworks.</li>
<li>Ensure data quality, integrity, and availability throughout the data lifecycle.</li>
<li>Monitor and troubleshoot data and machine learning models to ensure high performance and reliability.</li>
<li>Stay current with industry trends, tools, and technologies in data engineering and machine learning.</li>
<li>Document technical processes and provide training on data engineering and machine learning practices.</li>
<li>Collaborate with cross-functional teams to integrate machine learning solutions into existing systems.</li>
</ul>
Requirements<ul>
<li>Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.</li>
<li>Proven experience in data engineering and machine learning development.</li>
<li>Strong programming skills in Python, Java, or similar languages.</li>
<li>Solid understanding of machine learning algorithms and data modeling techniques.</li>
<li>Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud).</li>
<li>10 years Relevant experience in data engineering and machine learning.</li>
<li>Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.</li>
<li>Strong analytical and problem-solving skills.</li>
<li>Excellent communication and interpersonal skills, with the ability to work effectively in a team-oriented environment.</li>
<li>Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus.</li>
<li>Relevant certifications in data engineering or machine learning (e.g., AWS Certified Data Analytics, Google Professional Data Engineer) are preferred.</li>
<li>Understanding of data governance and data privacy regulations.</li>
<li>Experience with version control systems (e.g., Git) is a plus.</li>
<li>Understanding of National Information Exchange Model (NIEM) is preferred.</li>
<li>Experience with Dublin Core Metadata is a preferred.</li>
</ul>Skills:<ul>
<li>Strong understanding of data engineering practices and machine learning principles.</li>
<li>Ability to design and implement efficient data pipelines and machine learning models.</li>
<li>Excellent analytical and problem-solving skills.</li></ul></div>

Data & ML Engineers

Foodics

<div>Who Are We&#10067; 
We Are Foodics! a leading restaurant management ecosystem and payment tech provider. Founded in 2014 with headquarter in Riyadh and offices across 5 countries, including UAE, Egypt, Jordan and Kuwait. We are currently serving customers and partners in over 35 different countries worldwide. Our innovative products have successfully processed over 6 billion (yes, billion with a B) orders so far! making Foodics one of the most rapidly evolving SaaS companies to ever emerge from the MENA region. Also Foodics has achieved three rounds of funding, with the latest raising $170 million in the largest SaaS funding round in MENA, boosting its innovation capabilities to better serve business owners.
The Job in a Nutshell
You will be responsible for architecting and building robust data pipelines, data contracts, and processing frameworks that power analytics and ML features across Foodics. You&rsquo;ll work closely with ML Engineers and platform teams to ensure the reliability, scalability, and governance of our data infrastructure.
What Will You Do&#10067;<ul>
<li>Design and implement scalable ETL/ELT pipelines using cloud-native tools.</li>
<li>Define and enforce data contracts with domain squads and internal consumers.</li>
<li>Collaborate with ML Engineers on feature engineering and model-ready datasets.</li>
<li>Build monitoring, alerting, and observability into the data infrastructure.</li>
<li>Ensure data security, lineage, and compliance with internal standards.</li>
<li>Contribute to onboarding toolkits and reusable data components.</li>
</ul>What Are We Looking For&#10067;<ul>
<li>5+ years of experience in data engineering, with a track record in scalable pipelines.</li>
<li>Strong command of Python, SQL, and orchestration tools (e.g., Airflow, AWS Glue, Step Functions).</li>
<li>Experience with modern Lakehouse architecture and tools (e.g., S3, Redshift, Snowflake, dbt).</li>
<li>Deep understanding of data modeling, lineage, observability, and governance frameworks. (e.g., dimensional modeling, normalized vs. denormalized structures, schema evolution, ML feature stores)</li>
<li>Familiarity with ACID-compliant data formats such as Apache Iceberg, Delta Lake, or Apache Hudi, and experience managing large-scale datasets with time travel, schema evolution, and transactional guarantees.</li>
<li>Experience building fault-tolerant, testable, and maintainable pipelines in production environments.</li>
<li>Proven ability to work in cross-functional teams, collaborating with ML Engineers, Analysts, and Product Managers.</li>
<li>Familiar with CI/CD and infrastructure-as-code (Terraform/CDK preferred).</li>
<li>Strong communication skills and a mindset focused on documentation, standards, and continuous improvement.</li>
</ul>Who Will Excel&#10067;<ul><li>
Candidates with knowledge of MLOps integration and streaming technologies (e.g., Kafka, Kinesis).</li></ul>
What We Offer You&#10071; 
We believe you will love working at Foodics!<ul>
<li>We have an inclusive and diverse culture that encourages innovation.</li>
<li>We offer highly competitive compensation packages, including bonuses and the potential for shares.</li>
<li>We prioritize personal development and offer regular training and an annual learning stipend to tackle new challenges and grow your career in a hyper-growth environment.</li>
<li>Join a talented team of over 30 nationalities working in 14 countries, and gain valuable experience in an exciting industry.</li>
<li>We offer autonomy, mentoring, and challenging goals that create incredible opportunities for both you and the company.</li></ul></div>

Senior Data Engineer

Takamol Holding

<div>
 
 Job Description
 
 
 
 <ul>
 <li>
 AI Model Development &amp; Deployment: Lead design, development, and deployment of ML models, LLMs, and RAG systems with robust pipelines
 </li>
 <li>
 Technology Leadership: Monitor emerging AI technologies, conduct strategic assessments, and drive adoption of cutting-edge AI frameworks and methodologies
 </li>
 <li>
 Business Engagement: Collaborate with business units to identify AI use cases, translate requirements into technical solutions, and present strategic recommendations to executive leadership
 </li>
 <li>
 Team Leadership: Build, lead, and mentor teams of data scientists and ML engineers while fostering innovation and continuous learning
 </li>
 <li>
 AI Governance: Enforce AI governance frameworks, ethical guidelines, and organization-wide AI literacy initiatives
 </li>
 <li>
 Strategic Planning: Develop AI roadmaps, manage project budgets, and coordinate cross-functional initiatives to drive business transformation
 </li>
 <li>
 Innovation Management: Lead proof-of-concept initiatives, establish academic partnerships, and ensure scalable AI infrastructure for production applications
 
 
 </li>
 </ul>
 
 Job Requirements
 
 
 
 <ul>
 <li>
 Education &amp; Experience: Bachelor's degree in Computer Science/Data Science/ML or relevant fields (Master's preferred) with 7-10 years progressive AI/ML experience including 3-5 years in leadership roles
 </li>
 <li>
 Technical Expertise: Deep expertise in ML algorithms, LLMs, RAG architectures, and production deployment using frameworks and cloud services (GCP stack preferred)
 </li>
 <li>
 Programming &amp; Data: Expert Python programming, strong SQL skills, experience with big data technologies (Spark, Kafka) and cloud AI platforms
 </li>
 <li>
 Leadership Experience: Proven track record building and scaling technical teams, managing P&amp;L responsibility, and translating business requirements into AI solutions
 </li>
 <li>
 Business Acumen: Strong presentation skills to communicate complex technical concepts to stakeholders, experience with AI governance and regulatory compliance
 </li>
 <li>
 Industry Knowledge: Understanding of AI ethics, bias mitigation, responsible AI practices, and enterprise AI security best practices
 </li>
 <li>
 Preferred Qualifications: Cloud certifications, active conference and event participation and track record of successful AI product launches
 </li>
 </ul>
</div>

AI Director

Robusta Studio

<div>
 
 About Octopus By RTG
 
 
 
 Octopus by RTG is the tech hiring and outsourcing arm of
 
 Robusta Technology Group
 
 , dedicated to connecting exceptional tech talent with top-tier organizations across the
 
 MENA, GCC, Europe, the US, and Canada
 
 . We specialize in building strong, long-term partnerships between skilled professionals and innovative companies. Our mission is to
 
 empower growth, innovation, and excellence
 
 by matching the right talent with the right opportunities.
 
 
 Currently, we are hiring a
 
 Data Scientist
 
 for one of our
 
 partner organizations in KSA
 
 on a
 
 1-year contract
 
 , offering the opportunity to contribute to exciting projects within a dynamic and forward-thinking environment.
 
 
 
 Main Responsibilities
 
 
 
 <ul>
 <li>
 Identify and prioritize AI/ML use cases that deliver measurable business value and ROI
 </li>
 <li>
 Develop, validate, and deploy machine learning models for fraud detection, claim risk prediction, customer segmentation, and pricing optimization
 </li>
 <li>
 Build and maintain end-to-end data pipelines including data preparation, feature engineering, and model deployment
 </li>
 <li>
 Implement advanced analytics techniques, including deep learning, NLP, and computer vision where applicable
 </li>
 <li>
 Collaborate with ML Engineers to productionize models using MLOps best practices and CI/CD pipelines
 </li>
 <li>
 Ensure compliance with Saudi regulations (PDPL, NDMO) for data usage, model development, and AI governance
 </li>
 <li>
 Implement model monitoring, drift detection, and automated retraining pipelines to maintain model performance
 </li>
 <li>
 Partner with business stakeholders to translate complex business problems into actionable data-driven solutions
 </li>
 <li>
 Conduct A/B testing and experimentation to measure model effectiveness and optimize outcomes
 </li>
 <li>
 Develop and deploy explainable AI (XAI) models ensuring transparency and regulatory compliance
 </li>
 <li>
 Prepare technical documentation, analytical reports, and executive dashboards on model outcomes and insights
 </li>
 <li>
 Lead knowledge transfer sessions and mentor junior data scientists and analysts to build internal capabilities
 </li>
 <li>
 Stay current with latest AI/ML research and evaluate new technologies and techniques for business applications
 </li>
 <li>
 Collaborate with the Data Engineering team to ensure high-quality, reliable data for ML models
 </li>
 <li>
 Support the development of enterprise ML platforms and reusable AI/ML components
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 
 Main Requirements
 
 
 
 
 
 Education:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field (required)
 </li>
 <li>
 Master's or PhD in Machine Learning, Data Science, Statistics, or Artificial Intelligence (preferred)
 </li>
 <li>
 Relevant certifications such as Google Cloud ML Engineer, AWS Certified Machine Learning, TensorFlow Developer, or Azure AI Engineer are a plus
 
 
 </li>
 </ul>
 
 Experience &amp; Skills:
 
 
 
 <ul>
 <li>
 5+ years of proven experience in Machine Learning, Data Science, and Applied Statistics
 </li>
 <li>
 Strong expertise in Python and ML frameworks (scikit-learn, TensorFlow, PyTorch, XGBoost)
 </li>
 <li>
 Proficiency in SQL and experience working with big data platforms (e.g., BigQuery, Spark, Databricks)
 </li>
 <li>
 Hands-on experience with MLOps tools such as Kubeflow, MLflow, Vertex AI, or SageMaker
 </li>
 <li>
 Demonstrated ability to work with structured and unstructured data (JSON, text, images)
 </li>
 <li>
 Deep understanding of statistical methods, experimental design, and hypothesis testing
 </li>
 <li>
 Proven track record in model deployment, monitoring, and lifecycle management
 </li>
 <li>
 Familiarity with cloud-native ML platforms (Vertex AI, Azure ML, SageMaker)
 </li>
 <li>
 Knowledge of AI governance frameworks, explainable AI (XAI), and model interpretability
 </li>
 <li>
 Experience with deep learning, computer vision, and natural language processing (NLP)
 </li>
 <li>
 Knowledge of generative AI, LLMs, and real-time or edge ML deployment
 </li>
 <li>
 Strong understanding of Saudi data regulations (PDPL, NDMO, SAMA)
 </li>
 <li>
 Experience in the insurance or financial services domain (fraud detection, pricing models, claims prediction)
 </li>
 <li>
 Excellent communication skills to explain complex analytical findings to non-technical audiences
 </li>
 <li>
 Strong leadership and mentoring abilities, with experience guiding data science teams
 </li>
 </ul>
</div>

Data Scientist - Onsite (Riyadh) - Octopus - Immediate hire

Master Works

<div>
 
 
 Job Title:&nbsp;AI Product Manager (Technical) - Native Arabic Speaker
 
 
 
 
 
 About the Role
 
 
 
 We are seeking an experienced&nbsp;
 
 AI Product Manager
 
 &nbsp;with a solid technical foundation to lead AI product strategy, execution, and rapid prototyping. In this role, you will work across product, engineering, and business teams to define vision, deliver impactful AI-driven solutions, and quickly craft Proof of Concepts (POCs) to validate ideas.
 
 
 This position requires a&nbsp;
 
 native Arabic speaker
 
 &nbsp;who can navigate both technical and business discussions fluently, manage diverse tasks, and adapt to high-paced, high-impact environments.
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Define and own the vision, strategy, and roadmap for AI-driven products and features.
 </li>
 <li>
 Collaborate with engineers, data scientists, and designers to deliver scalable AI solutions.
 </li>
 <li>
 Rapidly build and iterate&nbsp;
 
 quick POCs
 
 &nbsp;to validate ideas before full-scale development.
 </li>
 <li>
 Translate business requirements into technical specifications and product plans.
 </li>
 <li>
 Manage product lifecycle &mdash; from ideation to launch and post-launch optimization.
 </li>
 <li>
 Work closely with stakeholders to align AI initiatives with business objectives.
 </li>
 <li>
 Ensure compliance with ethical AI guidelines, transparency, and data privacy standards.
 </li>
 <li>
 Act as the bridge between Arabic-speaking clients and technical teams for clarity and precision.
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.
 </li>
 <li>
 
 Native Arabic speaker
 
 &nbsp;with excellent English proficiency.
 </li>
 <li>
 3+ years in product management, preferably in AI, ML, or data-driven products.
 </li>
 <li>
 Strong understanding of AI/ML workflows, model evaluation, and deployment.
 </li>
 <li>
 Proven ability to deliver&nbsp;
 
 quick technical prototypes
 
 &nbsp;(e.g., using Python, APIs, cloud AI services).
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills.
 </li>
 <li>
 Experience working in fast-paced, agile environments.
 
 </li>
 </ul>
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Hands-on experience with&nbsp;
 
 LLMs, generative AI, computer vision, or speech-to-text solutions
 
 .
 </li>
 <li>
 Familiarity with tools such as&nbsp;
 
 OpenAI, Groq, Hugging Face, Azure Cognitive Services, or MLFlow
 
 .
 </li>
 <li>
 
 Preferred
 
 : Ability to leverage AI tools to rapidly build working prototypes.
 </li>
 <li>
 Background in UX for AI or human-in-the-loop systems.
 </li>
 <li>
 Experience in B2B and B2C AI product delivery.
 </li>
 <li>
 Prior startup or high-growth company experience.
 </li>
 </ul>
</div>

AI Product Manager (Technical)

MASTER-WORKS

<div>Job Title: AI Product Manager (Technical) &ndash; Native Arabic Speaker
About the Role
We are seeking an experienced AI Product Manager with a solid technical foundation to lead AI product strategy, execution, and rapid prototyping. In this role, you will work across product, engineering, and business teams to define vision, deliver impactful AI-driven solutions, and quickly craft Proof of Concepts (POCs) to validate ideas.
This position requires a native Arabic speaker who can navigate both technical and business discussions fluently, manage diverse tasks, and adapt to high-paced, high-impact environments.
Key Responsibilities<ul>
<li>
Define and own the vision, strategy, and roadmap for AI-driven products and features.</li>
<li>Collaborate with engineers, data scientists, and designers to deliver scalable AI solutions.</li>
<li>Rapidly build and iterate quick POCs to validate ideas before full-scale development.</li>
<li>Translate business requirements into technical specifications and product plans.</li>
<li>Manage product lifecycle &mdash; from ideation to launch and post-launch optimization.</li>
<li>Work closely with stakeholders to align AI initiatives with business objectives.</li>
<li>Ensure compliance with ethical AI guidelines, transparency, and data privacy standards.</li>
<li>Act as the bridge between Arabic-speaking clients and technical teams for clarity and precision.</li>
</ul>
Qualifications<ul>
<li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, Data Science, or related field.</li>
<li>Native Arabic speaker with excellent English proficiency.</li>
<li>3+ years in product management, preferably in AI, ML, or data-driven products.</li>
<li>Strong understanding of AI/ML workflows, model evaluation, and deployment.</li>
<li>Proven ability to deliver quick technical prototypes (e.g., using Python, APIs, cloud AI services).</li>
<li>Strong analytical, problem-solving, and communication skills.</li>
<li>Experience working in fast-paced, agile environments.</li>
</ul>
Preferred Qualifications<ul>
<li>
Hands-on experience with LLMs, generative AI, computer vision, or speech-to-text solutions.</li>
<li>Familiarity with tools such as OpenAI, Groq, Hugging Face, Azure Cognitive Services, or MLFlow.</li>
<li>Preferred: Ability to leverage AI tools to rapidly build working prototypes.</li>
<li>Background in UX for AI or human-in-the-loop systems.</li>
<li>Experience in B2B and B2C AI product delivery.</li>
<li>Prior startup or high-growth company experience.</li></ul></div>

<div>
 
 Job Description
 
 
 
 <ul>
 <li>
 Develop, test, and deploy machine learning models and AI services to support various business initiatives.
 </li>
 <li>
 Collaborate with data scientists, software engineers, and business stakeholders to integrate AI solutions into existing systems.
 </li>
 <li>
 Optimize AI models for accuracy, scalability, and efficiency.
 </li>
 <li>
 Integrate relevant AI SaaS-based services with existing or new products such as generative AI, vector databases and RAG solutions.
 </li>
 <li>
 Stay updated with the latest AI research and technologies to recommend innovative solutions.
 </li>
 <li>
 Assist in the quality control, deployment and monitoring of AI services in production environments.
 </li>
 <li>
 Ensure compliance with data privacy, security, and ethical standards related to AI.
 </li>
 <li>
 Document AI assets, workflows, and technical specifications.
 </li>
 <li>
 Support AI-related research and development projects.
 
 
 </li>
 </ul>
 
 Job Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related fields.
 </li>
 <li>
 Strong programming skills in Python, R, or similar languages.
 </li>
 <li>
 Experience with ML frameworks and AI cloud services such as Vertex AI and others.
 </li>
 <li>
 Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
 </li>
 <li>
 Familiarity with cloud platforms (Azure, AWS, GCP) for AI deployment is preferred.
 </li>
 <li>
 Understanding of deep learning, NLP, computer vision, or other AI subfields is a plus.
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills.
 </li>
 </ul>
</div>

AI Engineering Officer

Explore 1396+ Data ml engineers in Riyadh Saudi Arabia this November. Find roles across top companies and apply now to boost your career.

1396 data ml engineers jobs IN Riyadh Saudi Arabia

Data & ML Engineers

Senior Data Engineer

AI Director

Data Scientist - Onsite (Riyadh) - Octopus - Immediate hire

AI Product Manager (Technical)

AI Product Manager (Technical)

AI Engineering Officer