Senior DevOps Engineer for AI and Machine Learning

Job Description :

We are seeking a highly skilled and experienced Machine Learning Operations Engineer to join our team. The ideal candidate will have a strong background in ML engineering, experience with Python, GitLab CI, Terraform, and AWS services. They will be responsible for productionizing models, implementing automation-first delivery, designing scalable serving, and establishing end-to-end observability.

Key Responsibilities :

• Productionize models, ensuring resilient services with clear service level objectives (SLOs), runbooks, and fast, safe rollbacks.
• Implement automation-first delivery : reproducible builds, layered tests, and environment promotion via GitLab CI and Terraform-based infrastructure as code (IaC).
• Design scalable serving : batch and real-time inference on Amazon Elastic Container Service for Kubernetes (EKS) / Amazon Elastic Container Service (ECS) / AWS Lambda and Databricks Model Serving with probes, autoscaling, and canary / blue-green deployments.
• Establish end-to-end observability (data, model, system); detect drift / regressions; lead incidents and post-mortems that drive durable fixes.
• Collaborate across teams to translate requirements into designs, architecture decision records (ADRs), and change plans; balance security, privacy, cost, and performance tradeoffs.
• Continuously reduce toil through automation, optimize model / GPU / LLM cost, and evolve templates / playbooks for repeatable delivery.

Minimum Qualifications :

Preferred Qualifications :