Role Overview : We are hiring a Lead AI Engineer to provide hands-on technical leadership for AI systems powering ecommerce search, retrieval, ranking, personalization, and visual discovery.This is a senior individual-contributor role centered on research, rapid experimentation, production engineering, and measurable business impact across text, image, and multimodal experiences.You will set technical direction and lead end-to-end AI solutions across matching, multimodal retrieval, ranking, computer vision, vision-language modeling, and GenAI-powered experiences from problem framing and research through deployment, evaluation, and iteration at scale.You will also mentor engineers and scientists, establish reusable technical patterns, and influence cross-functional product and platform roadmaps.Core Responsibilities:- Set technical direction and lead research, experimentation, and production delivery for ML models spanning product matching, semantic/visual retrieval, search relevance, and image understanding.- Architect and optimize multi-stage retrieval and ranking pipelines across text, image, and fused multimodal representations.- Develop, fine-tune, and evaluate computer vision, vision-language,



and multimodal models.- Create rigorous offline evaluation, benchmarking, and online experimentation frameworks.- Apply reinforcement learning, learning-to-rank, or bandit methods for personalization.- Build and deploy GenAI and agentic AI systems.- Lead model and data strategy for multimodal systems, ensuring robustness, bias mitigation, and safety.- Productionize ML systems using Databricks and AKS, designing for latency, throughput, and observability.- Establish reusable architectures and MLOps/LLMOps practices.Required Qualifications:- 6+ years of experience in machine learning, applied science, or ML engineering, including leading complex initiatives.- 2+ years of hands-on experience developing and fine-tuning computer vision models.- Deep expertise in at least two of: Search/Retrieval/Ranking, Computer Vision, or Vision-Language/Multimodal models.- Robust proficiency in Python and PyTorch or equivalent.- Hands-on experience with Databricks, distributed pipelines, and Kubernetes/AKS.- Demonstrated technical leadership and ability to communicate complex trade-offs. (ref:hirist.tech)

📌 RandomTrees - Lead AI Engineer (Chennai)
🏢 RANDOMTREES PRIVATE
📍 Chennai