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Machine Learning Ops Engineer - Affinity Water Limited
MLOps Engineer
Machine Learning Ops Engineer responsible for building, deploying, and maintaining scalable ML pipelines using Python, Docker, Kubernetes, and AWS, ensuring robust monitoring and continuous delivery to deliver business value.
About the role
Key Responsibilities
- Design, implement, and maintain automated ML deployment pipelines with CI/CD practices.
- Containerise models using Docker and orchestrate with Kubernetes for scalable production.
- Integrate models into AWS environments, ensuring security, compliance, and cost optimisation.
- Set up monitoring, logging, and alerting to track model performance and drift.
- Collaborate with data scientists, engineers, and stakeholders to translate analytics into production-ready solutions.
Requirements
- Proven experience in Python and ML Ops tooling.
- Hands‑on expertise with Docker, Kubernetes, and CI/CD pipelines.
- Strong knowledge of AWS services (ECS/EKS, S3, SageMaker, CloudWatch).
- Experience with monitoring tools (Prometheus, Grafana, ELK) and model drift detection.
- Excellent communication skills and ability to work cross‑functionally.
Skills
pythoncicddockerkubernetesaws