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 setting 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].
Hiring #MLOps #MachineLearning #MLEngineering #AWS #Snowflake #Databricks #Python #PySpark #Docker #Kubernetes #Jenkins #GitHubActions #MLflow #SageMaker #ModelDeployment #AIEngineering

📌 MLOps Engineer (Gurugram)
🏢 EXL
📍 Gurugram