Machine Learning Engineer – Emirati Talent (NAFIS)

Job Description

411_3367966

Position MLOPs Engineer I Section Data & AI Division e& enterprise.

Responsibilities

• Build and maintain end-to-end MLOps pipelines for model training, validation, deployment, and monitoring.
• Automate model workflows using CI/CD and Continuous Training (CT) principles.
• Develop and manage reusable pipeline templates for LLM fine-tuning, RAG deployments, and multi-agent orchestration.
• Optimize cloud resource usage for efficient large-model training and inference
• Lead ML model lifecycle automation including CI/CD pipelines, monitoring, and production deployments
• Establish MLOps best practices for model versioning, automated testing, and continuous deployment
• Manage inference endpoints for real-time and batch predictions across environments (Dev, Staging, Prod).
• Implement model monitoring for drift detection, performance degradation, and latency tracking
• Manage feature stores, data versioning, and lineage tracking for reproducibility.
• Collaborate with AI engineers and data scientists to optimize model training and deployment workflows
• Drive adoption of DevOps practices in ML teams including infrastructure as code and automated deployments
• Design security and compliance frameworks for ML infrastructure and model governance
• Manage cost optimization and resource allocation for ML training and inference workloads
• Work closely with AI Architects, ML Engineers, and DevOps to improve pipeline reliability.

Qualifications & Experience

• Emirati with Family book
• Male candidates must have completed the National service.
• Bachelor’s or Engineering degree in Computer Science, Data Science, or related technical field.
• 2+ years of experience in DevOps, platform engineering, or ML infrastructure
• Knowledge of Kubernetes, Docker, and cloud platforms (AWS, GCP, Azure)
• Strong experience with Infrastructure as Code tools (Terraform, CloudFormation) and CI/CD pipelines; MLOps tools knowledge like Airflow, Kubeflow, MLflow etc.

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2026-04-08 15:37:25