Details.
Based in Bangalore, this role covers the full AI and machine learning lifecycle, including designing, building, fine-tuning, deploying, and optimizing intelligent systems. Responsibilities include working with closed-source and open-source large language models, building RAG pipelines and AI agents, developing chatbots and computer vision solutions, using vector databases, applying prompt engineering, creating APIs and backends with FastAPI or Flask, performing exploratory data analysis and visualization, deploying models on AWS, Azure, or GCP, delivering proof-of-concepts, collaborating with cross-functional teams, and maintaining reproducible ML pipelines. The role requires at least 2 years of experience, with immediate availability indicated, proficiency in Python and FastAPI, experience with generative AI, LLMs, machine learning, deep learning, LangChain or related agent frameworks, vector databases, computer vision, NLP, RAG pipelines, model deployment, cloud platforms, and relevant databases and visualization tools. A degree in computer science, data science, AI/ML, or a related field is required. Open-source contributions, multimodal LLM experience, statistics or academic research, and startup-style proof-of-concept experience are additional advantages.