Lead I - ML Engineering

About the role

Design, build, and productionize machine learning models and intelligent automation to improve billing accuracy, enrollment processing, and document/image handling. Deliver and support Oracle Revenue Management and Billing (ORMB) configuration, Java microservices, and modern UI components. Manage the end-to-end ML lifecycle from data preparation, model training, and evaluation to deployment, monitoring, and retraining.

What you'll do

• Design, build, and productionize machine learning models and intelligent automation to improve billing accuracy, enrollment processing, and document/image handling
• Deliver and support Oracle Revenue Management and Billing (ORMB) configuration, Java microservices, and modern UI components
• Manage the end-to-end ML lifecycle from data preparation, model training, and evaluation to deployment, monitoring, and retraining
• Resolve technical issues and errors during development, batch execution, and production support
• Act as a Point of Contact (POC), mentor junior associates, and collaborate effectively with onshore/offshore stakeholders in an Agile SCRUM environment

What you need

• 9–12 yrs of experience
• Machine learning
• SQL
• Python
• Scikit-learn
• Pandas
• Computer vision
• B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA or M.Sc

Good to have

• LLMs
• MLOps
• AWS
• NLP
• ETL
• Airflow