Experience: 8–12+ Years
Relocation Required for candidates outside the UAE
Are you a Senior MLOps professional passionate about building production-grade machine learning platforms on AWS? This is a high-impact onsite role in the UAE where you’ll lead end-to-end MLOps architecture and work closely with Data Science and Engineering teams.
What You’ll Do
Design & operate end-to-end MLOps pipelines (data → deployment → monitoring)
Lead production ML deployments using AWS-native services
Build CI/CD pipelines for ML workflows & infrastructure
Implement model monitoring, drift detection & automated retraining
Ensure scalability, security & cost optimization on AWS
Mentor engineers and define MLOps best practices
Key Skills
MLOps & ML: Model lifecycle, deployment, monitoring (TensorFlow, PyTorch, Scikit-learn, MLflow)
AWS (Mandatory): SageMaker, S3, EC2, Lambda, ECR, ECS, EKS, IAM, CloudWatch
DevOps: Docker, Kubernetes (EKS), CI/CD (GitHub Actions / Jenkins / GitLab CI), Terraform / CloudFormation
Programming: Strong Python, data pipelines, SQL & NoSQL