Machine learning engineering roles in India span model development, MLOps pipeline building, and AI application deployment. Entry-level positions typically require Python proficiency, statistical foundations, familiarity with scikit-learn and PyTorch or TensorFlow, and at least one end-to-end project demonstrating training, evaluation, and deployment of a model.
Fintech (fraud detection, credit scoring), healthcare AI, e-commerce (recommendation systems), and product analytics teams are the primary ML employers. Many "ML engineer" fresher roles are closer to data engineering or analytics with ML exposure, so read job descriptions carefully before applying.
Typical range: Fresher ML roles: ₹5–10 LPA; experienced ML engineers: ₹12–30+ LPA at top product companies.
Kaggle competition participation and end-to-end deployed ML projects (not just notebook experiments) differentiate candidates significantly at the fresher level.
Greensturn
BCE Global Tech
NCR Atleos
ResultFlow.ai
Salesforce
GoForSys
Accenture
YC-backed
Fortive
Highspring
LG Solutions
LG Solutions
Gartner
Grow Money Capital
Motorq
KPMG
Growww
Wipro
Insta Biz Web
GK HR Consulting
ARtmeTech
State Street
Parsh Technologies
Tecnod8.AI
Salesforce
Motorola Solutions
Nexolvi.ai
CUBE
Tower Research Capital
Rivervbed
LogiNext
Infobip
Itron
KPMG
Microsoft
Deloitte
Eaton
Greentiq
Frido
Nasuni