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You will be updated with latest job alerts via emailWe are looking for a Machine Learning Engineer to build and implement Masters Indias platform based on the latest open source technologies.
Job responsibilities will be crossfunctional ranging from clean coding to architectural changes to client
interactions. Over a period of time youre expected to challenge the existing tech stack and add your baby components to it. The person should be a team player should have an eye for detail and problem solving skills.
Technical Skills: Python Tensorflow Pytorch Model Training/Testing
Primary Responsibilities :
Working on the awesome AI product for document information extraction.
Build the nextgeneration information extraction product powered by stateoftheart AI and Deep Learning techniques.
Work with an international topnotch engineering team with full commitment on Machine Learning development.
Required Qualifications :
Passionate about search & AI technologies. Open to collaborating with colleagues & external contributors.
Good understanding about the mainstream deep learning models from multiple domains: computer vision NLP reinforcement learning model optimization etc.
Handson experience on deep learning frameworks e.g. Tensorflow Pytorch MXNet BERT. Able to implement the latest DL model using existing API open source libraries in a short time.
Handson experience with the CloudNative techniques. Good understanding about web services and modern software technologies.
Maintained/contributed machine learning projects familiar with the agile software development process CICD workflow ticket management codereview version control etc.
Skilled in the following programming languages: Python 3.
Good Communication Skills.
Additional Information :
What you get:
A competitive package and a chance to participate in a life altering business plan that will fundamentally disrupt and change one of the largest industry segments in India and the world.
Additional information
WHY US
Location: Procapitus Business Park Noida Sec 63
Employment Type: Permanent
Industry: IT
Remote Work :
No
Employment Type :
Fulltime
Full-time