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Home › Jobs › Machine Learning › RandomTrees - Lead AI Engineer
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RandomTrees - Lead AI Engineer

RandomTrees
Chennai
Experience0 years
Salary Not disclosed
LocationChennai
Job TypeFull time
Skills: Machine Learning Python PyTorch Computer Vision
Job Description
Job Title: RandomTrees - Lead AI Engineer Company: RandomTrees Job Category: Machine Learning Roles & Responsibilities: 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. 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. Work Location: Chennai, Tamil Nadu, India Availability: Full time
Requirements
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. * Strong 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. Key Skills: Machine Learning, Python, PyTorch, Computer Vision Salary: Not disclosed
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