
Senior Engineer – AI/ML Ops Engineer
MANN+HUMMEL
full-time
Posted on:
Location Type: Office
Location: Bengaluru • India
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Job Level
About the role
- Build and manage end-to-end AI/ML pipelines
- Own model registry, versioning, and lifecycle management
- Design scalable model serving architectures
- Implement CI/CD pipelines for AI workloads
- Partner with AI Engineers to productionize models
- Ensure reliability, monitoring, and governance of AI systems
Requirements
- 4–7 years of experience as an AI/ML Ops Engineer
- Python
- Docker
- Kubernetes (EKS / AKS)
- Snowflake
- Postgres
- Feature Store / Vector DB (FAISS)
- MLflow (Model Registry & Lifecycle)
- Model Serving: FastAPI, Triton, TorchServe
- Cloud: AWS / Azure
- CI/CD: Bitbucket, GitHub Actions, GitLab CI
- Pipelines: ArgoFlow
- Monitoring: DataDog, Prometheus, Grafana
Benefits
- Health insurance
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonDockerKubernetesSnowflakePostgresFeature StoreMLflowFastAPITritonGitHub Actions