Description

You will design and deliver GenAI applications, including conversational search, chatbots, summarizers, and recommender engines, powered by NLP and LLMs.

Responsibilities

• Architect frameworks for GenAI products, such as bots and search interfaces.
• Build and optimize LLM models, including BERT and GPT, using PyTorch or TensorFlow.
• Implement RAG, dynamic prompting, and PEFT/SFT using tools like LangChain.
• Ensure safety and transparency by implementing guardrails and bias mitigation.
• Operationalize end-to-end ML solutions on AWS and mentor junior staff.

Required Skills

• 10+ years in Data Science or ML.
• Advanced technical degree.
• 5+ years of professional Python experience.
• Strong experience with NLP, LLMs, embeddings, and vector databases.
• Deep understanding of Transformer architectures and Self-Attention mechanisms.
• Proven ability to build production-ready ML/AI applications.
• Experience with PyTorch and TensorFlow.
• Experience implementing GenAI solutions.

Key Skills

Education

Any Graduate