SME - Terraform, Python, JenKins

About the role

The Machine Learning Engineer designs, builds, and maintains machine learning and statistical models that support the organization\'s clinical and operational needs. The role will be working across the entire modeling lifecycle -- framing requirements, preparing model-ready data, engineering features, developing and validating models in Python and/or R, and keeping those models accurate in production over time.

What you'll do

• Requirement Framing and Approach Selection
• Collaborate with the Data Engineering & Analytics team to translate operational and clinical needs into well-defined machine learning problems (classification
• Write the SQL needed to source, join, and transform data from enterprise source systems (EHR, Financial, and People Operations platforms) into analysis-ready datasets
• Work on upstream data engineering tasks (building ETL/ELT pipelines, integrating with semi structured data such as REST APIs, building stored procedures
• Design well validated, clean training and testing datasets with correct granularity, point-in-time correctness, and prevention of data leakage

What you need

• 5–7 yrs of experience
• Python
• Terraform
• Jenkins
• SQL
• Git
• Machine learning
• B.Tech or B.E. or B.Sc or BCA

Good to have

• SQL Server
• R
• REST APIs
• Pandas
• NumPy
• Scikit-learn