Online applications are invited for the Machine Learning Intern at Fynd, Mumbai. Check the eligibility and other details below!
About Fynd
Fynd is India’s largest omnichannel platform and multi-platform tech company. It has expertise in retail tech and products in AI, ML, big data ops, gaming+crypto, image editing, and the learning space. Founded in 2012 by three IIT Bombay alumni: Farooq Adam, Harsh Shah, and Sreeraman MG, it is headquartered in Mumbai and has 1000+ brands under management, more than 10,000 stores, and servicing 23k+ pin codes.

Job Description
Fynd wants new, ambitious research members to join our Machine Learning Research group. They seek 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 problem areas include Image Restoration, Image Enhancement, Generative Models and 3D computer vision. You will work on various state-of-the-art new techniques to improve and optimize neural networks and 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 and also have the freedom to try out your ideas and pursue research topics of your interest.
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 be free to write research papers and publish them at 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.
Qualifications
At least 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).
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.
Required Skill Sets
- Strong background and understanding of mathematical concepts relating to probabilistic models, linear algebra and probability
- Knowledge of computer vision/image processing techniques, awareness of existing and trending algorithms, and research in the computer vision domain.
- Experience with one or more of the following programming languages: C, C++, Python, and/or functional programming languages and deep learning frameworks like Tensorflow/Keras/PyTorch.
How to Apply?
Interested candidates can directly apply through this link.
Location
Mumbai, Maharashtra