Fynd is India’s largest omnichannel platform and multi-platform tech company with expertise in retail tech and products in AI, ML, big data ops, gaming+crypto, image editing and learning space. Founded in 2012 by 3 IIT Bombay alumni: Farooq Adam, Harsh Shah and Sreeraman MG. We are headquartered in Mumbai and have 1000+ brands under management, more than 10k stores and servicing 23k + pin codes.
We want new ambitious research members to join our Machine Learning Research group. We are looking for people with a proven track record in computer vision research. In this role, we create new models, algorithms and approaches to solve challenging machine learning problems. Some of our problems areas include Image Restoration, Image Enhancement, Generative Models and 3D computer vision. You will work on various state-of-art new techniques to improve and optimize neural networks and also use computer vision approaches to solve various problems. You will be required to have in-depth knowledge of image processing and convolutional neural networks. You will tackle our challenging problems also have the freedom to try out your ideas and pursue research topics of your interest.
Please find our research page : https://research.fynd.com/
What will you do at Fynd?
- You will participate in cutting edge research in machine learning and computer vision
- Learn and implement state of the art best practices to create accurate and lightweight models
- You will have the freedom to write research papers and publish yourself in top conferences.
- You will apply your knowledge to analyse problems, devise solutions and construct valid metrics with best practices.
- Come up with practical and deployable solutions. Ensure successful technology transfers to Fynd products
- Atleast one prior internship in the field of computer vision or NLP
- A BS, MS, PhD or equivalent experience in a quantitative field (Computer Science, Applied Mathematics or related technical field) field
- Experience in one or more of the following areas - Image Restoration, Image Enhancement, Unsupervised Learning, Compression, Generative Models, 3D computer vision, Object detection and tracking or related computer vision topics
- Strong background and understanding of mathematical concepts relating to probabilistic models, linear algebra and probability
- Knowledge of computer vision/image processing techniques and awareness for existing and trending algorithms and research of Computer Vision domain.
- Programming experience in one or more of the following: C, C++, Python, and/or functional programming languages and deep learning frameworks like - - Tensorflow/Keras/PyTorch
What do we offer?
Growth
Growth knows no bounds, as we foster an environment that encourages creativity, embraces challenges, and cultivates a culture of continuous expansion. We are looking at new product lines, international markets and brilliant people to grow even further. We teach, groom and nurture our people to become leaders. You get to grow with a company that is growing exponentially.
Flex University: We help you upskill by organising in-house courses on important subjects
Learning Wallet: You can also do an external course to upskill and grow, we reimburse it for you.
Culture
Community and Team building activities
Host weekly, quarterly and annual events/parties.
Wellness
Mediclaim policy for you + parents + spouse + kids
Experienced therapist for better mental health, improve productivity & work-life balance
We work 5 days from the office and we make sure people have everything they need:-
Free meals
Snacks, goodies & a lot of fun culture
This job is already closed and no longer accepting applicants, sorry.
