Antino Labs (Delhi)

Job Description Position : Lead AI/ML Engineer Location : Gurgaon Experience : 5+ years in AI/ML engineering, with 23 years in a lead role Job Summary We are seeking a versatile and highly skilled Lead AI/ML Engineer with deep expertise in Generative AI (GenAI) and Large Language Models (LLMs). This role requires a leader who can take full ownership of the AI lifecyclefrom initial architectural design to final production execution. You will lead the development of scalable AI-powered applications, demonstrating exceptional execution skills and the ability to deliver high-performance results under pressure in demanding production environments. Machine Learning & LLM Capability - End-to-End ML Engineering : Build and manage comprehensive ML pipelines, including data ingestion, preprocessing, training, and evaluation using frameworks like PyTorch, TensorFlow, and Scikit-learn. - Advanced LLM Systems : Design and implement sophisticated LLM-based applications such as autonomous agents, chatbots, and complex automation tools. - Generative AI Specialization : Architect and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases like FAISS, Pinecone, or Weaviate. - Model Optimization : Fine-tune open-source and proprietary models (e.g., LLaMA, GPT) using advanced techniques like LoRA, QLoRA, or instruction tuning. - Agentic Frameworks : Develop complex agentic workflows utilizing frameworks such as LangChain or LlamaIndex. - Prompt Engineering : Implement expert-level prompt engineering, tool/function calling, and structured output generation. Project Ownership & Execution - Full Lifecycle Ownership : Take complete accountability for the full ML and GenAI lifecycle, spanning data processing, model development, monitoring, and optimization. - Architectural Leadership : Drive strategic architectural decisions for AI platforms, ensuring they are modular, scalable, and maintainable. - Execution Excellence : Write clean, high-performance Python cod .