Senior AI Engineer (Arabic Speaker)📣 إعلان

About the Role

Datamatics Technologies is seeking a highly skilled Senior AI Engineer (Arabic Speaker) to join its AI and Data Science team in Riyadh. This full-time position requires 5-10 years of experience and focuses on designing, developing, deploying, and managing enterprise-grade AI solutions. The role involves building scalable AI systems, implementing Generative AI applications, operationalizing machine learning models, and collaborating with business stakeholders to deliver impactful AI-driven solutions.

Key Responsibilities

• Design, develop, train, and deploy machine learning and deep learning models for enterprise use cases, including predictive analytics, NLP, recommendation systems, and intelligent automation.
• Develop AI-powered applications leveraging Large Language Models (LLMs) and Generative AI technologies, including fine-tuning foundation models and implementing Retrieval-Augmented Generation (RAG) architectures.
• Design and implement enterprise GenAI solutions using platforms such as OpenAI, Azure OpenAI, Claude, Gemini, Llama, and Mistral.
• Develop conversational AI solutions, intelligent assistants, and knowledge management systems, building prompt engineering frameworks and optimizing prompts for business use cases.
• Implement vector databases, semantic search solutions, 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, automating model deployment using CI/CD pipelines and infrastructure-as-code practices.
• Monitor model performance, drift detection, retraining strategies, and operational KPIs, establishing AI governance, model versioning, reproducibility, and compliance standards.
• Deploy AI/ML workloads on cloud platforms such as Azure, AWS, GCP, or OCI, managing containerized AI environments using Docker and Kubernetes.
• Design scalable AI infrastructure supporting high-volume enterprise workloads and optimize cloud resources, performance, and operational costs.
• Collaborate with data engineering teams to build AI-ready data pipelines and integrate AI solutions with enterprise applications, APIs, databases, and business platforms.
• Engage with business stakeholders to identify AI opportunities and translate business requirements into technical solutions, presenting AI solution architectures and project outcomes to diverse audiences.
• Mentor junior AI engineers, data scientists, and platform engineers.

Required Qualifications and Experience

• Bachelor’s Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline. A Master’s Degree in AI, Machine Learning, Data Science, or a related field is highly preferred.
• 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.
• Proven experience building and operationalizing machine learning models in production environments.
• Strong experience implementing enterprise MLOps frameworks and practices.
• Experience working with cloud-native AI services and modern AI platforms.
• Native or Fluent Arabic Speaker.
• Willingness to work onsite in Riyadh, Saudi Arabia.

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).

Soft Skills and Certifications

• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management abilities.
• Ability to work effectively in cross-functional and multicultural environments.
• Strong ownership, accountability, and leadership mindset.
• Passion for innovation and continuous learning.
• Preferred Certifications: Microsoft Azure AI Engineer Associate, AWS Machine Learning Specialty, Google Professional Machine Learning Engineer, OCI AI Foundations Associate, Kubernetes Certifications (CKA/CKAD), Databricks Machine Learning Professional.

Work Environment

This is a full-time position based onsite in Riyadh, Saudi Arabia. The role is part of a growing AI and Data Science team within Datamatics Technologies.