- Experience
- 1 – 3 years
- Pay
- Not disclosed
- Education
- Bachelor's degree in Computer Science or related field
- Location
- Mumbai, India
- Work mode
- On-site
- Job type
- Full-time
About this role
Unico Connect is an AI-native software development company that builds and operates products for clients. The MLOps engineer runs the infrastructure that takes ML and LLM models from notebooks into reliable production, covering CI/CD, observability and deployment automation.
What you will do
- Operate model deployment pipelines on Gemini Enterprise Agent Platform, AWS SageMaker or self-hosted Kubernetes
- Maintain CI/CD for ML including data validation, training, evaluation gates and deployment
- Build observability for production models (latency, cost, drift, hallucination rate)
- Implement A/B and canary rollouts for ML/LLM features
- Maintain model registries, feature stores and experiment tracking
- Partner with AI Engineers on development-to-production flows
- Govern model and prompt versioning and rollback procedures
- Author runbooks for common ML production incidents
- Maintain Terraform modules and Kubernetes manifests
What the employer expects
- Bachelor's degree in Computer Science or related field
- 1-3 years experience in MLOps, DevOps or backend engineering with ML exposure
- Strong Python; comfortable reading PyTorch or TensorFlow code
- Hands-on with Docker, Kubernetes and at least one cloud (GCP or AWS)
- Familiarity with MLflow, Weights & Biases or comparable experiment tracking
- Working knowledge of CI/CD with GitHub Actions or Cloud Build
- Comfort reading and modifying Terraform modules
- Basic understanding of model evaluation metrics
- Strong fundamentals in observability concepts
Skills
- Python
- Docker
- Kubernetes
- GCP
- AWS
- MLflow
- Weights & Biases
- Terraform
- GitHub Actions
Apply on the employer's site
The application opens on Unico Connect careers page. Dev Portal Notes does not collect your application or charge a fee.
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