AI Engineer + ML ops -4+ Years-work from Office-Bangalore
Tekgence
Bengaluru, Karnataka, India
Full-Time
Posted 21 days ago
Bengaluru, Karnataka, India
Full-Time
Posted 21 days ago
Job Description & Responsibilities
Position : AI Engineer + ML ops
Exp: 4+ Years SAP CPI
Client: One of our Prestigious client.
Mode of hiring :Full Time /Permanent
Budget: 20LPA-35 LPA (Including VP)
Location: Bangalore
Mode of Work: Work from Office from day 1 (Client location)
About the Role
Build and operate the MLOps pipelines that take AI/ML and GenAI models from experimentation to production packaging, CI/CD delivery, model serving, and monitoring. A hands-on engineering role bridging data science and enterprise deployment.
Key Responsibilities
- Build end-to-end pipelines — data ingestion, training, evaluation, packaging, versioning, and deployment.
- Develop and maintain Jenkins CI/CD for Dev QA Production promotion with multi-stage gates.
- Deploy model-serving APIs on AKS using FastAPI and vLLM; apply ONNX/TensorRT optimizations.
- Set up observability — drift detection (Evidently AI), Prometheus/Grafana, Azure Monitor.
- Apply DevSecOps practices — Key Vault, Managed Identity, SonarQube, Trivy/Snyk.
- Application Development – REST, WebSocket Frameworks using FastAPI
Must-Have Skills
- 4+ years in ML/AI engineering or DevOps with hands-on production MLOps pipeline experience.
- CI/CD tooling: CI tooling (UV, Ruff, Pyrefly), Jenkins (strong), Azure DevOps, GitOps concepts; Git and pre-commit workflows.
- Databricks ML pipelines (Delta Lake, Workflows, MLflow), Asset Bundles and PySpark for data processing.
- Model serving: FastAPI, Docker, AKS; exposure to vLLM and ONNX/TensorRT optimization.
- Python (strong — FastAPI, Pydantic, async), Bash, YAML/SQL scripting.
- Cloud knowledge – Azure/AWS/GCP Storage, AI related services.
- Databases and storage: PostgreSQL, Redis, ADLS Gen2.
- Understanding of containerization, Helm, and infrastructure automation.
Nice to Have
- Airflow, DVC, and experiment tracking (W&B / Comet ML).
- Terraform, KEDA, Azure APIM, and AAD RBAC configuration.
- LLM fine-tuning pipelines; Ray Serve or BentoML exposure.
- Groovy (Jenkinsfile).
- Manufacturing or semiconductor domain experience
About Tekgence
Required Skills
PythonAWSAzureGCPDockerSQLRedisGitCI/CDTerraform
Job Details
Employment TypeFull-Time
Work ModeOn-Site
Experience4 – 9 years
Positions1
Posted by
N/A
Posted on:
18 Sept 2026
About Tekgence
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