EXL is Hiring: MLOps Engineer | ML Model Deployment & Productionization

We are looking for hands-on MLOps Engineers with proven 4 -10 years of experience in deploying and operationalizing ML models in production and managing the ML model lifecycle across cloud and on-premises workplace in Banking Domain.

Key Skills & Hand-on Experience:

- Python & PySpark
- AWS Cloud (SageMaker, EC2, S3, Lambda, EKS, or similar services); Good to have: Azure, GCP
- Snowflake, Databricks
- CI/CD Pipelines (Jenkins, GitHub Actions, GitLab CI/CD)
- Docker & Kubernetes
- GitHub, GitLab, Release Management
- MLflow, Model Registry, Model Deployment, Airflow, Scheduling Batch Scoring
- Production Monitoring, Logging, Alerting, Observability, Troubleshooting & Rollback Strategies
- Code conversion/refactoring, UAT testing, PIV, and production release activities




- Containerizing and deploying ML predictive models on cloud and on-premises production environments
- Building automated data ingestion pipelines with DQ checks, and orchestrating scoring pipelines with output DQ checks.
- Collaborating with cross-functional teams, including Model Development, Data Engineering, Infrastructure

Location: Gurugram, India

Experience required: 4 – 10 Years

If you have relevant hands-on experience, please share your profile at [email protected].

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📌 MLOps Engineer (Gurugram)
🏢 EXL
📍 Gurugram