MANN+HUMMEL
Website:
mann-hummel.com
Job details:
Role Summary
Job Description
This role focuses on building and operating reliable, scalable, enterprise-grade AI platforms. You will own deployment, lifecycle management, observability, and governance of AI models that power mission-critical business systems and directly impact P&L.;
Main Tasks
Key Responsibilities
- 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
Technical Skills
- 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
Experience
4–7 years of experience as an AI/ML Ops Engineer with strong ownership of production AI systems at scale
Role: AI / ML Ops Engineer
Location: Bangalore, India
Experience: 4–7 years
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