Engineer- Machine Learning

About the role

Machine Learning (ML) Engineer – Design and development of machine learning models for analysis of power train and vehicle dynamics data to serve use cases such vehicle health/performance management and driver behavior monitoring. The job also entails research in statistics, mathematics and automobile

What you'll do

• Design and development of machine learning models for analysis of power train and vehicle dynamics
• Data. Research in the fields of statistics, mathematics and automobile-technology for evolution of hybrid
• Algorithms which couple physics and machine learning. Use cases for said hybrid data models vary across
• Vehicle health management, fuel pilferage tracking and driver behavior profiling
• Implementation of aforementioned models from a software development perspective. Working closely

What you need

• 2–6 years in data science & ai
• Machine learning
• SQL
• Python
• Pandas
• Statistics
• Deep learning
• B.Tech or B.E. or M.Tech

Good to have

• Computer vision
• R
• NumPy
• TensorFlow
• Node.js
• MongoDB

What you get

• ₹20 L–₹25 L a year