Senior MLOps Engineer Job Description
We are seeking a skilled Senior MLOps Engineer to join our team. The ideal candidate will have expertise in productionizing models, building automation-first delivery, and engineering scalable serving.
Key Responsibilities :
- Develop and implement resilient services with clear SLOs, runbooks, and fast, safe rollbacks for model production.
- Design and build reproducible builds, layered tests, and environment promotion via CI / CD pipelines.
- Engineer batch and real-time inference on cloud platforms with probes, autoscaling, and canary / blue-green deployments.
- Instrument end-to-end observability (data, model, system) and lead incidents to drive durable fixes.
- Collaborate across teams to translate requirements into designs, ADRs, and change plans.
Requirements :
Bachelor's degree in Computer Science, Engineering, Data Science, or related field and 3+ years of relevant experience.Experience operating ML systems in production (MLOps).Expertise in Python for ML engineering and GitLab CI / CD for ML development.This is an exciting opportunity to work on complex projects and collaborate with talented engineers. If you have a passion for MLOps and a desire to grow your skills, we encourage you to apply.