MANN+HUMMEL

Senior Engineer – AI/ML Ops Engineer

MANN+HUMMEL

full-time

Posted on:

Location Type: Office

Location: BengaluruIndia

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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