01Responsibilities
Research and develop computer vision solutions for industries (BFSI, Beauty and personal care, E-commerce, Defence etc.)
Lead a team of ML engineers in developing an industrial AI product from scratch
Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment
Tune the models to achieve high accuracy rates and minimum latency
Deploying developed computer vision models on edge devices after optimization to meet customer requirements
02Requirements
Bachelors degree
Understanding about depth and breadth of computer vision and deep learning algorithms.
4+ years of industrial experience in computer vision and/or deep learning
Experience in taking an AI product from scratch to commercial deployment.
Experience in Image enhancement, object detection, image segmentation, image classification algorithms
Experience in deployment with OpenVINO, ONNXruntime and TensorRT
Experience in deploying computer vision solutions on edge devices such as Intel Movidius and Nvidia Jetson
Experience with any machine/deep learning frameworks like Tensorflow, and PyTorch.
Proficient understanding of code versioning tools, such as Git
Our perfect candidate is someone that:
is proactive and an independent problem solver
is a constant learner. We are a fast growing start-up. We want you to grow with us!
is a team player and good communicator
What We Offer:
You will have fun working with a fast-paced team on a product that can impact the business model of E-commerce and BFSI industries. As the team is small, you will easily be able to see a direct impact of what you build on our customers (Trust us - it is extremely fulfilling!)
You will be in charge of what you build and be an integral part of the product development process
Technical and financial growth! .