Hike is hiring a
Sr. ML Engineer, Web3 - India

Summary

The job is for an experienced AI professional with strong programming abilities in Python Scientific & Deep Learning Stack to build deep learning models and optimize their deployment pipelines in various areas such as computer vision, graphics, audio, AR/VR etc. The company values a proactive attitude, teamwork, customer focus, and continuous learning.

Requirements

• 3+ years of relevant industry experience
• B.tech/MS from a top Tier institute
• Strong programming abilities, especially Python Scientific & Deep Learning Stack (Numpy, Pandas, Pytorch/Tensorflow, Transformers, Diffusers etc.)
• Solid foundations in Data-Structures, Algorithms, Design & Architecture
• Exposure to Deep Learning, preferably building Generative AI applications
• Experience working with LLMs such as Open AI GPTs, LLaMA & Claude with use cases taken to production. Preferably, experience working with SLMs and Mobile Language Models
• Teamplayer with excellent organizational, communication and interpersonal skills

Responsibilities

• Build deep learning models in the areas of computer-vision, graphics & audio
• Own end to end Quality & Performance Metrics for AI deployment pipelines: from learning to inference to rendering
• Create deployment pipelines for server-side as well as on-device real-time inference
• Optimize ML inference pipelines to render high quality 3D graphics across multiple clients ranging from Android Native to game-engines like Unity
• Collaborate in a cross-functional setup including Artists, Engineers & Scientists to translate cutting-edge research (AI, Art & Graphics/Multimedia) into high quality user-experiences

Preferred Qualifications

• Ability to work in a fast-paced environment without compromising on quality
• Ability to be self-directed and learn quickly, coupled with a strong desire to stay on top of latest developments in the field of AI
• Excited about building cutting edge AI products in the fields of Computer Vision, Graphics, Audio, AR/VR etc., preferably with experience, in at least one of the areas