Machine Learning Engineer

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 are a company of more than 750 people. Fynd has 1000+ brands under management, more than 10k stores and servicing 23k + pin codes.
Everybody these days is making products, everyone is hiring technology ninjas! We aren’t looking for ninjas, samurais or warriors, we are looking for YOU:
* If you know the difference between worKING and work-eh-ing* You know when to stop, how to unwind and take a breakk!* Unafraid to ask for help & unashamed to ask again* If you are good at what you do & acknowledge when you mess up (We all mess up some time)* You learn, execute, learn again and talk about the insights you gained
Then YOU are the chosen one that we are looking for….
As a Machine Learning Engineer, the purpose of this role is to work with our machine learning research team to develop, implement and deploy machine learning and deep learning models. Our core area of work is in the field of computer vision so you will require some familiarity with convolutional neural networks.
Please find our research page : https://research.fynd.com/Some of our products: https://www.erase.bg/, https://www.upscale.media/

What will you do at Fynd?

• Work on the deployment of machine learning and deep learning models.
• Help in accelerating model inference using various compression tools like onnx, Torch script, TensorRT, OpenVINO, etc. Develop and maintain a data streaming pipeline (both batch and real-time) for data integration and large-scale machine learning.
• Deliver best practices recommendations and technical presentations around machine learning deployment including real-time modeling.
• Maintain and further enhance the internal model feature store and optimize the feature engineering script.
• Full life cycle implementation from requirements analysis, platform selection, technical architecture design, application design and development, testing, and deployment.
• Responsible for the end-to-end deployment of predictive models including scoping, testing, implementation, maintenance, tracking, and optimization of predictive models.
• Responsible for complete and accurate documentation of all development around machine learning engineering.

Some specific Requirements

• 2+ years of experience implementing and deploying machine learning and deep learning frameworks through distributions cluster and application programming in cloud platforms including AWS and GCP.
• Basic Knowledge of tools/libraries such as TensorFlow, PyTorch, Keras, NumPy, pandas etc.
• Strong understanding of data structures and algorithms and experience in Python. Some experience with computer vision(classification, segmentation, object detection) pipelines
• Deep experience across systems integration, information management, data management and architecture, and business analytics.
• Language: Python, Java, Scala, Unix bash script, REST API process.

What Is In It For You

• An attractive remuneration package.
• Opportunity to collaborate with some of the brightest and best minds in India. Training and Education - We pride ourselves in helping you realize your potential and give you the opportunity to be innovative.
• An exciting career - As our business grows, so do the opportunities for our team members

What do we offer?
GrowthWe are a company that has grown more than 2x in people, 3x in products and 4x in office presence, in the past 1 year alone. 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 subjectsLearning Wallet: You can also do an external course to upskill and grow, we reimburse it for you.
Other Perks A lucrative Retention BonusESOP for people who go above and beyondBest in the market salary and appraisal
CultureOur Glassdoor rating of 4.5 conveys what our people already know, we consistently work towards a better us. We listen to people: Make big + small changes wherever required. Go on Workcations all year long. Host weekly, quarterly and annual events/parties.
WellnessMediclaim policy for you + parents + spouse + kidsExperienced therapist for better mental healthCoaching to improve productivity & work-life balance 
We work 5 days from the office and we make sure people have everything they need:-* Free meals* Shuttle service* Snacks, goodies & a lot fun culture