Remote Machine Learning scientist

K
Kotak Group


Work From Home - Business Associate
Kotak Group • via WorkIndia.in
6 days ago
₹25K–₹35K a month
Part-time
No Degree Mentioned
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Job description
Salary Range : Rs. 25000 - Rs. 45000 , based on skills, experience, and interview performance

Educational Requirement : 12th Pass

Work Arrangement : Work From Home / Remote

Gender Preference : Both male and female can apply

Skills Requirement : No predefined skills necessary

Experience Requirement : Fresher

Location : Malad West

Working Hours : 3 hours a day | Monday to Saturday | day shift...
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Turing.com


Remote Machine Learning scientist jobs
Turing.com • via Turing
5 days ago
Full–time
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Job description
About the role:
We, at Turing, are looking for talented Machine Learning scientists who can help solve a range of exciting problems. We offer the best ML jobs that provide candidates a unique opportunity to make an impact by applying advanced machine learning concepts to our products.

About Turing.com:
Turing’s mission is to unleash the world’s untapped human potential. We use AI to source, evaluate, hire, onboard, and manage engineers remotely (including the HR and compliance aspects) in a bigger platform that we call the “Talent Cloud”.

We recently achieved unicorn status with a valuation of $1.1B, after raising over $140M in financing over four rounds of funding. +00+ companies including companies like Johnson & Johnson, Pepsi, Dell, Disney +, and Coinbase have hired Turing developers.

Responsibilities:
- Enhance our existing machine learning systems using your core coding skills and ML knowledge
- Take end to end ownership of machine learning systems - from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systems
- Utilize state-of-the-art ML modeling techniques to predict user interactions and the direct impact on the company’s top-line metrics
- Design features and builds large scale recommendation systems to improve targeting and engagement
- Identify new opportunities to apply machine learning to different parts of our product(s) to drive value for our customers