Senior ML Ops Engineer

A company is looking for a Senior ML Ops Engineer to join their AI infrastructure team.

Key Responsibilities

Architect, implement, and maintain end-to-end ML pipelines for data ingestion, training, deployment, and monitoring

Automate model training and deployment workflows using CI / CD tools and infrastructure-as-code

Build systems for model versioning, drift detection, and continuous retraining while managing cloud and on-prem environments

Required Qualifications

5-8+ years of experience in software, DevOps, or ML Ops engineering (or equivalent)

Deep familiarity with ML Ops platforms (e.g., MLflow, Kubeflow, Airflow, SageMaker, Vertex AI)

Expertise with CI / CD tools (GitLab CI, Jenkins) and IaC tools (Terraform, CloudFormation)

Strong experience with containerization and orchestration (Docker, Kubernetes)

Proficiency in Python and scripting for automation