Senior MLOps Engineer – Model Deployment

DataPro Services

Contract · Flexible hours

About the role

DataPro Services is scaling its AI platform and needs a Senior MLOps Engineer to design and automate model deployment pipelines. You will work closely with data scientists to ensure models move from experiment to production quickly and reliably.

Key responsibilities

• Design, build, and maintain CI/CD pipelines for ML models.
• Containerize training and inference workloads using Docker.
• Orchestrate scalable deployments on Kubernetes clusters.
• Implement monitoring, logging, and alerting for model performance.
• Optimize cloud resource usage on AWS.
• Collaborate with cross‑functional teams to enforce best practices.

Must-have skills

• Extensive experience with Python for ML workflows.
• Strong Docker and Kubernetes expertise.
• Deep knowledge of AWS services (EKS, S3, SageMaker).
• Proven DevOps automation using CI/CD tools.
• Understanding of model versioning and reproducibility.

Nice to have

• Familiarity with Terraform or CloudFormation.
• Experience with monitoring tools like Prometheus or Grafana.