Senior Engineer – AI/ML Ops Engineer
MANN+HUMMEL
full-time
Posted on:
Location Type: Office
Location: Bangalore • 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
- Strong ownership of production AI systems at scale
- Proficiency in Python and Docker
- Experience with Kubernetes (EKS / AKS)
- Familiarity with Snowflake, Postgres, Feature Store / Vector DB (FAISS)
- Knowledge of MLflow (Model Registry & Lifecycle)
- Experience with FastAPI, Triton, and TorchServe for Model Serving
- Understanding of cloud platforms: AWS / Azure
- Experience with CI/CD: Bitbucket, GitHub Actions, GitLab CI
- Familiarity with pipelines: ArgoFlow
- Knowledge of monitoring tools: DataDog, Prometheus, Grafana
Benefits
- Health insurance
- Retirement plans
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI/ML pipelinesmodel registryversioninglifecycle managementCI/CDPythonDockerKubernetesFastAPITriton
Soft skills
ownershipreliabilitymonitoringgovernance