Computer Vision Engineer

We are seeking a software engineer proficient in image processing and computer vision algorithms to join our team. The primary responsibility would be to coming up with optimized automated solutions of blending advertising information into images in a seamless manner. (This will act as the backend for all different content forms) Responsibilities Build automation solutions for real-time native creative creation from various Ad exchanges. Ensuring a match between the scalability of solution/s and ad server's traffic. Influence the shaping of future products by significantly contributing to the architecture used across design families. Design frameworks for particular functions. Define, document and test processes for inclusion into technical platforms, subsystem specifications, input/output and working parameters for hardware and/or software compatibility. Identify, analyze and resolve subsystem and/or design weaknesses. Provide multilayered technical expertise for next generation initiatives. Requirements 1+ yrs of experience in image processing algorithms implementation Hands-on experience with object detection, tracking, and optical flow, and 3D reconstruction Practical knowledge of machine learning, Bayesian filtering, information theory Fluency with Python or/and GoLang The ability to communicate technical information clearly and succinctly to both technical and non-technical teams Highly Desirable skills Expertise in image classification, segmentation, and feature extraction Strong understanding of linear algebra, optimization, probability and statistics Experience with software architecture and/or API design, complemented by robust integration skills A background in Parallel programming Experience with Vision applications What’s in it for you? - Opportunity to be a part of the big disruption we are creating in the ad-tech space. - Work with big brands like PepsiCo, Amazon, Marico, etc. - Office in one of the most happening places in India. - Amazing colleagues, weekly lunches and beer on fridays!