13 hours ago
Noida, IndiaSenior
Responsibilities
- Build and deploy ML and AI models.
- Develop end-to-end pipelines covering ETL, model development, and deployment.
- Use Databricks, Spark, Delta Lake, and MLflow to build scalable ML/AI solutions.
- Perform data analysis and feature engineering.
- Implement MLOps and model monitoring.
Requirements
- 5+ years of experience in AI, machine learning, or data engineering.
- Strong Python and PySpark skills.
- Hands-on experience with Databricks and Spark.
- Experience developing and deploying ML models.
- Strong SQL and data understanding.
Tech Stack
Categories
Data EngineeringML Engineering
About EXL
EXL provides data analytics, AI, and digital operations services for enterprises in insurance, healthcare, banking, and other regulated industries. It delivers consulting, managed services, and technology platforms to improve decision-making, risk management, and operational efficiency. Founded in 1999 and headquartered in New York, EXL is a public company listed on the NASDAQ (ticker: EXLS).