Hiring: ML Engineer (Azure ML / MLOps)
Location: 100% Remote
Working Hours: India Day Shift
Duration: 6–12 Months
Client: Coforge
We are looking for an experienced Azure ML / MLOps Engineer (6–8 years) with strong hands-on expertise in building, deploying, and operationalizing enterprise-scale AI/ML & Generative AI solutions on Microsoft Azure.
Must-Have Skills
- Azure Machine Learning Studio
- Azure Kubernetes Service (AKS)
- Azure DevOps (ADO) Pipelines
- MLflow
- Azure Data Factory (ADF)
- Strong Python (production-grade ML engineering)
Key Responsibilities
- Design, develop, and deploy AI/ML & GenAI solutions using Azure ML
- Build scalable ML pipelines for training, inference, monitoring, and automation
- Deploy and manage workloads on AKS clusters
- Implement CI/CD pipelines using Azure DevOps & Git
- Manage full ML lifecycle using MLflow (tracking, registry, versioning)
- Monitor model performance, drift, and production stability
- Collaborate with Data Science, ML, and DevOps teams
- Work with Azure Data Factory & Blob Storage for data pipelines
- Ensure code quality using best practices (Black, Flake8, linting standards)
Nice to Have
- Docker & containerized deployments
- Distributed / scalable AI infrastructure experience
Cloud security & governance knowledge.
