Senior AI Engineer (Arabic Speaker)
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Key skills for this role
About the Role
Datamatics Global Services is seeking a Senior AI Engineer (Arabic Speaker) in Riyadh to design, develop, and deploy enterprise AI solutions including Generative AI and MLOps. The role requires 6-8 years of experience, strong Python skills, and native or fluent Arabic.
Key Skills for This Role
Responsibilities
- Design, develop, train, and deploy machine learning and deep learning models for enterprise use cases
- Build and optimize predictive analytics, NLP, recommendation systems, and intelligent automation solutions
- Develop AI powered applications leveraging Large Language Models (LLMs) and Generative AI technologies
- Design and implement end to end MLOps pipelines for model training, deployment, monitoring, and lifecycle management
- Deploy AI/ML workloads on cloud platforms such as Azure, AWS, GCP, or OCI
- Collaborate with data engineering teams to build AI ready data pipelines
- Engage with business stakeholders to identify AI opportunities and translate business requirements into technical solutions
Requirements
- 6 8 years of experience in AI/ML Engineering, Data Science, or AI Platform Engineering
- Minimum 3+ years of hands on experience implementing Generative AI solutions
- Native or Fluent Arabic Speaker
- Strong Python programming skills
- Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related discipline
Full Job Posting
About the Role
- We are seeking a highly skilled Senior AI Engineer (Arabic Speaker) to join our growing AI and Data Science team in Riyadh. The ideal candidate will have strong expertise in Artificial Intelligence, Generative AI, Machine Learning Operations (MLOps), and Cloud based AI Platforms, with proven experie
Key Responsibilities
- Design, develop, train, and deploy machine learning and deep learning models for enterprise use cases.
- Build and optimize predictive analytics, NLP, recommendation systems, and intelligent automation solutions.
- Develop AI powered applications leveraging Large Language Models (LLMs) and Generative AI technologies.
- Fine tune foundation models and implement Retrieval Augmented Generation (RAG) architectures.
- Evaluate and benchmark AI models to ensure performance, scalability, and reliability.
- Design and implement enterprise GenAI solutions using OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral, and other LLM platforms.
- Develop conversational AI solutions, intelligent assistants, and knowledge management systems.
- Build prompt engineering frameworks and optimize prompts for business use cases.
- Implement vector databases and semantic search solutions.
- Develop AI agents and autonomous workflows using modern AI orchestration frameworks.
- Design and implement end to end MLOps pipelines for model training, deployment, monitoring, and lifecycle management.
- Automate model deployment using CI/CD pipelines and infrastructure as code practices.
Qualifications
- Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.
- Master's Degree in AI, Machine Learning, Data Science, or related field is highly preferred.
Required Technical Skills
- Artificial Intelligence & Machine Learning: Machine Learning, Deep Learning, Natural Language Processing (NLP), Predictive Analytics, Computer Vision (preferred), Reinforcement Learning (preferred).
- Generative AI: Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Prompt Engineering, AI Agents & Multi Agent Systems, Fine Tuning and Model Optimization, Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS), LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen.
- MLOps: MLflow, Kubeflow, Airflow, Model Monitoring & Observability, CI/CD for ML, Feature Stores, Model Registry, Experiment Tracking, Model Governance.
- Cloud Platforms: Microsoft Azure, AWS, Google Cloud Platform (GCP), Oracle Cloud Infrastructure (OCI) – Preferred.
- Containers & DevOps: Docker, Kubernetes, Git, GitHub Actions, Jenkins, Terraform, Infrastructure as Code.
- Programming Languages: Python (Mandatory), SQL, Bash/Shell Scripting, Java or C# (Preferred).
Mandatory Requirements
- Native or Fluent Arabic Speaker.
- 6–8 years of relevant AI/ML engineering experience.
- Hands on expertise in Generative AI and MLOps.
- Strong Python programming skills.
- Experience deploying AI solutions in enterprise production environments.
- Willingness to work onsite in Riyadh, Saudi Arabia.
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