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data ml engineer1

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 on the lookout for a skilled Data &amp; ML Engineer to join our dynamic team. In this role, you will be responsible for developing and implementing data solutions and machine learning models that enable our clients to derive actionable insights from their data.
The ideal candidate will have a strong background in data engineering and machine learning, with experience in creating robust data pipelines and deploying machine learning models in production. You should be comfortable working collaboratively in a fast-paced environment and possess a passion for leveraging data to solve complex problems. If you are ready to take your career to the next level, we want to hear from you!<h3 class="jobSectionHeader">
Responsibilities</h3><ul>
<li>Design, develop, and maintain scalable data processing pipelines and workflows for data ingestion and transformation.</li>
<li>Collaborate with cross-functional teams to gather data requirements and implement ETL processes.</li>
<li>Develop, train, and optimize machine learning models based on business needs and available data.</li>
<li>Ensure data quality, consistency, and accessibility throughout data life cycles.</li>
<li>Monitor and troubleshoot data pipelines and machine learning models to optimize performance.</li>
<li>Stay abreast of industry trends, tools, and technologies relevant to data engineering and machine learning.</li>
<li>Document processes and provide training on data engineering and machine learning practices.</li>
<li>Integrate machine learning solutions into existing applications and 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 as a Data Engineer or Machine Learning Engineer.</li>
<li>Strong programming skills in Python, Java, or similar languages.</li>
<li>Solid understanding of machine learning algorithms, data pipelines, and data processing frameworks.</li>
<li>Relevant experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark).</li>
<li>5 years of relevant experience in data engineering and machine learning.</li>
<li>Familiarity with data visualization tools (e.g., Tableau, Power BI) is an advantage.</li>
<li>Excellent analytical and problem-solving skills.</li>
<li>Strong communication and collaboration skills, with the ability to work in a team-oriented environment.</li>
<li>Experience with containerization tools (e.g., Docker) and orchestration systems (e.g., 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 privacy regulations is desirable.</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 preferred.</li>
</ul>Skills:<ul>
<li>Strong understanding of data engineering principles and machine learning workflows.</li>
<li>Ability to design and implement efficient data pipelines and machine learning solutions.</li>
<li>Excellent analytical and problem-solving capabilities.</li></ul></div>

Data & ML Engineer1

<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

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

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

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

Capgemini - Zcomme

The Role
 We are seeking a visionary Enterprise Architect to lead the design and evolution of our enterprise-wide IT architecture, with a strong emphasis on AI-driven solutions and banking domain expertise. The ideal candidate will align business strategy with technology, ensuring scalable, secure, and innovative architectures that leverage AI to drive business value. Key Responsibilities Enterprise Architecture - Define and maintain the enterprise architecture framework, ensuring alignment with business goals and technology roadmaps. AI Integration - Lead the design and implementation of AI/ML solutions, including data pipelines, model deployment, and integration with enterprise systems. Banking Domain - Leverage deep understanding of banking processes, regulations, and technologies to architect solutions that meet industry-specific needs. Technology Strategy - Evaluate and recommend emerging technologies, tools, and platforms to enhance enterprise capabilities. Stakeholder Collaboration - Work with business leaders, IT teams, and vendors to ensure architecture supports business objectives and innovation. Governance & Compliance - Ensure architectures adhere to regulatory, security, and compliance standards, especially in the banking sector. • Design thinking, which enables synthesizing of many ideas into big picture view that shows between business intention and business action • Understanding of how markets influence business, what are the differentiating factors, what and how value is created • Soft skills, knowledge of business, systems thinking, change management techniques, awareness in business changes in the economic environment and technology’ • Sound understanding of business principles and concepts • Breadth of knowledge across all aspects of architecture design, delivery, operations and evolution • Knowledge of architecture best practices across the different architecture capabilities • Thorough knowledge of banking IT systems and applications • Business transformation and alternative delivery methods • Significant experience in translating the business needs in IT systems and operations • Understanding of technology strategy, development lifecycle and alternative delivery methods • Strong knowledge of Product / service Development, Project and Program management methodologies • Strong acumen in customer experience and relationship management • Problem solving abilities including analytical and design thinking, creativity, pattern recognition, problem resolution, logical & holistic thinking, and decision making • Effective communication abilities including convincing, influencing, teaching, negotiating skills, leadership, bridge building and being political astute, and presentation creation and delivery • Execution Excellence in planning & organizing, time management, process orientation, quality & cost, and ability to work independently
 
Requirements
 Qualifications & Skills Education • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. Experience • 10+ years in IT, with at least 5 years in enterprise architecture. Proven experience in AI/ML and banking/financial services is highly desirable. • 10+ years of overall experience including architecture design, application development or project management • 5+ years of experience in architecture practice Technical Skills • Strong knowledge of enterprise architecture frameworks (TOGAF, Zachman), cloud platforms, data architecture, AI/ML technologies, and banking systems. AI/ML Expertise • Hands-on experience with AI/ML models, data science platforms, and integration of AI solutions into enterprise systems. Certifications • Relevant certifications (TOGAF, AWS/Azure Architect, AI/ML, etc.) are a plus. Soft Skills • Excellent communication, leadership, and problem-solving abilities
 
About the company
 Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 350,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2022 global revenues of 22 billion.

Enterprise Architect (AI & Banking Domain)

TMC Middle East

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

Data Scientist

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