Lead/principle Machine Learning Engineer & Researcher Job in Square Root Consulting Pvt Ltd
Lead/principle Machine Learning Engineer & Researcher
- Bengaluru, Bangalore Urban, Karnataka
- Not Disclosed
- Full-time
- Permanent
Hiring Lead/Principle Machine Learning Engineer & Researcher with US based eLearning Platform for their Bangalore Team.
Location: Bangalore
Experience: 5+ Years
Role: Lead/Principle Machine Learning Engineer & Researcher
Education: BE/BTech/ME/MTech/PhD/MS from any of the tier 1 institute
We are looking for you someone who is Machine learning Expert and a statistical mastermind and are keen to make a difference in a unique way. As a Data Scientist & ML Engineer you will have the responsibility of creating and leveraging the state-of-the-art algorithms in machine learning, deep learning and AI which will impact billions of people.
What we expect from you :
- B.Tech, M.Tech or Ph.D. in Computer Science/Mathematics or equivalent work experience
- Knowledgeable on common data structures and algorithms
- Knowledgeable in one or more of the following : Machine Learning / Information Retrieval / Deep Learning / NLP
- 5 to 15 year experience working with real world datasets
- Strong interest in solving real world problems in Machine Learning
- Programming experience (in any programming language) is a must
- Good familiarity with Python and its scientific computing / ML ecosystem is preferable.
As an ML Engineer / Data Scientist, you will work on cutting edge problems in Natural Language Processing using Deep Learning.
- Perform exploratory data analysis to understand the problem
- Having experience working on Sequence to Sequence problems.
-Have a great understanding of the fundamental mathematics that underlies deep learning. Brush up on your linear algebra, derivate calculus, and probability theory.
- Implement and experiment with different features and architectures for Deep-Learning models for NLP
- Do visualization for understanding the problem and showcasing models
- Make the model faster for real-time predictions
- Build tools to help the team build models and deploy them
5 to 10 Years
2 - 4 Hires
