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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

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>

Takamol Holding

<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

Mirai, a Scopely company

<div>
 Mirai, a Scopely company based in Riyadh, is building transformative AI solutions focused on enhancing productivity, automation, and data-driven decision-making within the company's internal operations and enterprise platforms.
 
 
 Mirai is a subsidiary of Scopely, a global interactive entertainment and mobile-first video game company, home to many top, award-winning experiences such as "MONOPOLY GO!," "Star Trek&trade; Fleet Command," "Stumble Guys," "MARVEL Strike Force," and "Yahtzee&reg; With Buddies," among others. Recognized multiple times as one of Fast Company's "World's Most Innovative Companies," Scopely is a multi-billion-dollar business due to its ability to create long-lasting interactive experiences that players enjoy for years. Scopely has global operations in more than a dozen markets across Asia, EMEA, and North America, and is home to many internal game development teams, referred to as Scopely Studios, with additional game studio partners across four continents.
 
 
 Scopely was acquired by Savvy Games Group in July 2023 and is now an independent subsidiary of Savvy. Established in 2021 by Saudi Arabia's Public Investment Fund (PIF), Savvy Games Group is a games and esports company formed with a mission to drive the long-term growth and development of the broader technology and innovation industry worldwide.
 
 
 We're seeking a talented and experienced Senior Software Engineer (full-stack) to join our growing GenAI team in Riyadh.
 
 
 
 Requirements
 
 
 
 We are seeking a skilled full-stack developer to build end-to-end solutions that power our AI-driven tools, analytics platforms, and game management systems. This role involves creating web applications, APIs, and user interfaces that integrate AI capabilities into production workflows and enable teams across Mirai and Scopely to leverage our GenAI innovations.
 
 
 <ul>
 <li>
 4-6 years of professional experience in full-stack development
 </li>
 <li>
 Familiarity with AI/ML platforms or LLM integration
 </li>
 <li>
 Strong expertise in JavaScript/TypeScript and experience with at least one modern framework (React, Vue.js, or Angular)
 </li>
 <li>
 Proficiency in backend development with Node.js, Python (FastAPI/Django), or similar frameworks
 </li>
 <li>
 Familiarity with cloud platforms (AWS, GCP) and basic containerization (Docker)
 </li>
 <li>
 Experience building and consuming RESTful APIs, with GraphQL knowledge as a plus
 </li>
 <li>
 Working knowledge of databases (PostgreSQL, MongoDB, or Redis)
 </li>
 <li>
 Understanding of Git workflows, CI/CD concepts, and automated testing
 </li>
 <li>
 Experience with or willingness to learn about integrating AI services into web applications
 </li>
 <li>
 Good problem-solving skills with a focus on creating clean, maintainable code
 </li>
 <li>
 Strong communication skills and ability to work effectively in a collaborative team environment
 </li>
 <li>
 Eagerness to learn and grow in a fast-paced, innovative environment
 
 
 </li>
 </ul>
 
 Key Responsibilities
 
 
 
 What You will do
 
 
 <ul>
 <li>
 Design and develop full-stack applications supporting AI-powered analytics, automation tools, and internal platforms
 </li>
 <li>
 Build responsive, intuitive user interfaces for AI model management, monitoring dashboards, and game development tools
 </li>
 <li>
 Develop and maintain backend services and APIs that integrate with AI/ML pipelines and game systems
 </li>
 <li>
 Create data visualization and monitoring solutions for AI model performance and game analytics
 </li>
 <li>
 Implement and improve microservices that support AI operations
 </li>
 <li>
 Work on authentication, authorization, and data management across our systems
 </li>
 <li>
 Collaborate with AI engineers, data scientists, and game developers to translate AI capabilities into user-friendly applications
 </li>
 <li>
 Contribute to frontend development using modern frameworks while ensuring performance and accessibility
 </li>
 <li>
 Participate in code reviews, share knowledge with team members, and contribute to technical best practices
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with real-time communication (WebSockets, Server-Sent Events)
 </li>
 <li>
 Knowledge of data visualization libraries (D3.js, Chart.js, Plotly)
 </li>
 <li>
 Experience with game development tools or gaming industry
 </li>
 <li>
 Understanding of microservices architecture and message queuing systems
 </li>
 <li>
 Experience with mobile app development (React Native, Flutter)
 </li>
 <li>
 Contributions to open-source projects
 </li>
 <li>
 Experience with Kubernetes and advanced DevOps practices
 
 
 </li>
 </ul>
 
 Growth Opportunities
 
 
 
 <ul>
 <li>
 Work directly with cutting-edge AI technologies and learn from experienced AI team
 </li>
 <li>
 Opportunity to progress to a senior role and lead larger technical initiatives
 </li>
 <li>
 Exposure to large-scale gaming systems and millions of users
 </li>
 <li>
 Mentorship from senior engineers and architects
 </li>
 <li>
 Access to learning resources and conference attendance
 </li>
 </ul>
</div>

Senior Software Engineer (Fullstack)

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)

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Senior Data Engineer

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

AI Product Manager (Technical)

AI Product Manager (Technical)

AI Engineering Officer

Senior Software Engineer (Fullstack)

Enterprise Architect (AI & Banking Domain)