At Tashion.ai , we’re reimagining how fashion is bought online — replacing size charts, guesswork, and return loops with fit-intelligent, feel-aware AI that gives you more confidence online than you get offline. We want shopping for fashion online to be as confident or better experience for consumers as in stores. We’re building the world’s first closed-loop fit & feel multi-modal simulation engine for fashion e-commerce , training models using real customer data: body shape, fabric behavior, and subjective fit experience. Think of it as teaching machines to understand clothing the way humans do — how it hugs, stretches, falls, and makes you feel. We’ve seen early excitement from both D2C brands and pre-seed investors , and our founding team includes: Khanaz KA (Founder, CEO) - A former Amazon/Simpl product leader who scaled checkout tech to 1000+ brands, 13+ years in E-comm, IIMA Class of 2012 H Chhekur (Co-Founder - tech) - Competitive coder, ex-HackerRank & Simpl staff engineer engineer, with experience scaling systems across e-commerce, SaaS, and fintech Dr. Abin Jose (Founding Scientist) - A PhD & Post-Doc AI scientist (IISc + RWTH Aachen) with mulitple publications & industry experience IIT B, NUS & HBS PhD & Post-Doc ML advisors with 20+ years of experience across CV & AI. We’re pre-product but moving fast toward pilot rollouts. This is your chance to build a generational product from the ground up — with ownership, purpose, and creative freedom. Responsibilities: You’ll be our founding ML engineer who will work closely with Dr. Abin, our science advisors, and the founding team to lay the foundation for Tashion’s ML strategy: Build and deploy first-gen fit prediction & visualization models that map body shape, garment dimensions, and user feedback Collaborate on fabric behavior simulation — predicting stretch, drape, compression using real-world product and video data Architect a learning loop that trains on real try-on videos and user sentiment to continuously improve Prototype fast, productionize smart — balancing accuracy, latency, and usability Help define our model training infra, data strategy, and compute roadmap as we scale Qualifications 1–3 years of hands-on experience productionizing ML models (research-only roles won’t be a fit) Strong grasp of modern ML tooling — PyTorch, TensorFlow, OpenCV, NumPy , etc. Exposure to human pose, apparel, avatars, or biomechanics is a plus Familiarity with feedback-driven learning loops , synthetic data, or active learning is a bonus PhD preferred, or Masters from a top-tier university with exceptional portfolio Startup mindset — thrive in ambiguity, bias to build, no ego Based in Bangalore (hybrid to start, in-office as we scale) What you get A founder-style role in a startup solving a real-world, global consumer problem Equity heavy comp structured to reward long-term ownership Mentorship from experienced ML scientists and operators The chance to build full-stack intelligence in an emerging frontier: fashion x AI x human psychology Early voice in defining Tashion’s product, platform, and culture
Job Title
Founding ML Engineer