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Tier-1 brand and metro location present, but highly specialized GenAI skillset limits applicant density.
Role requires deep GenAI, agent frameworks, LLM and RL expertise making skills highly domain-specific.
Explicit years ranges, mandatory GenAI/agent skills and specific frameworks make filters strict.
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Design, develop, test, and deploy machine learning models with focus on language models and generative AI solutions.
Develop and integrate autonomous and collaborative AI agents using multi-agent frameworks (e.g., AutoGen, LangChain) enhancing task completion and decision-making efficiency.
Optimize AI agent performance metrics including autonomy, collaboration, adaptability, resource utilization, and explainability.
5 to 8 years experience as Data Scientist with 2 to 3 years specifically in Generative AI solution development.
Strong proficiency in generative AI frameworks (LlamaIndex, Langchain, Autogen) and multi-agent frameworks (AutoGen, LangGraph, LangChain, CrewAI).
Hands-on experience with Large Language Models (GPT, LLaMA, Mistral, Claude, Gemini) including prompt engineering, fine-tuning (PEFT, LoRA), and integration.
Experience with cloud platforms such as Azure, GCP, or AWS.
Deep expertise in agentic AI principles including autonomous decision-making, self-improving and goal-driven agents.
Proven ability working with AI workflows combining multiple agents in complex, distributed environments.
Hands-on experience with diverse AI tech stack: advanced NLP tools, vector databases, reinforcement learning, and deep learning architectures (CNNs, Transformers).