Executive Summary & Why This Matters
What to learn, build and prove in months 0–6, 6–12 and 12–24 to progress from MLOps Intern to MLOps Engineer. In competitive hiring landscapes, small differences in signaling, formatting, and strategic presentation compound into major outcomes. This playbook synthesizes proven hiring insights to help candidates bypass common screening bottlenecks.
- Months 0–6: build fundamentals in ‘model deployment and serving’, CI/CD for ML and ‘experiment tracking and model registry’ and become productive with MLflow.
- Months 6–12: own a small piece of work end to end and document the result.
- Months 12–24: broaden into ‘monitoring and drift detection’ and ‘containers and Kubernetes’, and mentor newer joiners to prepare for Senior MLOps Engineer.
- Track measurable wins every quarter so promotion and interview conversations are evidence-based.
- Find a mentor early and ask for feedback every month.