Computer Vision and Machine Learning Researcher – Fresher / Experienced

Fynd is India’s leading omnichannel platform and a prominent tech company specializing in retail technology and products across AI, machine learning, big data operations, gaming and crypto, image editing, and education. Founded in 2012 by IIT Bombay alumni Farooq Adam, Harsh Shah, and Sreeraman MG, we are based in Mumbai. We manage over 1,000 brands, have more than 10,000 stores, and service over 23,000 pin codes.

We are seeking ambitious new members to join our Machine Learning Research group. We are interested in individuals with a proven track record in computer vision research. In this role, you’ll develop new models, algorithms, and approaches to tackle challenging machine learning problems. Our focus areas include Image Restoration, Image Enhancement, Generative Models, and 3D Computer Vision. You will work on cutting-edge techniques to enhance and optimize neural networks and apply computer vision methods to various issues. A deep understanding of image processing and convolutional neural networks is required. You will tackle challenging problems and have the freedom to explore your ideas and pursue research topics that interest you.

Please find our research page : https://www.fynd.com/research/vision-lab

What will you do at Fynd?

  • Engage in advanced research in machine learning and computer vision.
  • Learn and implement state-of-the-art practices to develop accurate and efficient models.
  • Have the freedom to write and publish research papers in top conferences.
  • Apply your expertise to analyze problems, develop solutions, and establish effective metrics using best practices.
  • Develop practical, deployable solutions and ensure successful integration into Fynd’s products.

Specific Requirements:

  • A BS, MS, PhD, or equivalent experience in a quantitative field such as Computer Science, Applied Mathematics, or a 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.
  • Multiple publications in top conferences.
  • A strong background and understanding of mathematical concepts related to probabilistic models, linear algebra, and probability.
  • Knowledge of computer vision/image processing techniques and familiarity with existing and emerging algorithms and research in the Computer Vision domain.
  • Programming experience in one or more of the following languages: C, C++, Python, or functional programming languages, and proficiency with deep learning frameworks like TensorFlow, Keras, or PyTorch.

What’s in it for you:

  • An attractive remuneration package.
  • The opportunity to collaborate with some of the brightest and most talented minds in India.
  • We take pride in helping you realize your potential and offering you the chance to innovate.

What We Offer

Growth

Our growth knows no bounds as we foster an environment that encourages creativity, embraces challenges, and cultivates a culture of continuous development. We are exploring new product lines, international markets, and seeking brilliant individuals to expand even further. We teach, groom, and nurture our team to become leaders. You’ll have the opportunity to grow with a company that is expanding rapidly.

  • Flex University: We support your upskilling by organizing in-house courses on important subjects.
  • Learning Wallet: You can enroll in external courses to enhance your skills and growth, and we will reimburse the cost.

Culture

  • Participate in community and team-building activities.
  • Enjoy hosting weekly, quarterly, and annual events and parties.

Wellness

  • Mediclaim policy for you, your parents, spouse, and kids.
  • Access to an experienced therapist to support better mental health, productivity, and work-life balance.

Work Environment

We work five days a week from the office and ensure you have everything you need:

  • Free meals.
  • Snacks, goodies, and a fun culture.

Apply Link:- Click Here To Apply (Apply before the link expires)

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