Description

You will design, develop, test, and deploy Machine Learning models focusing on language models.

Responsibilities

• Design, develop, test, and deploy Machine Learning models using state-of-the-art algorithms with a strong focus on language models.
• Interact with research teams and partners to build end-to-end AI/ML/NLP solutions, covering Conversational AI, document understanding, and QnA.
• Mine and analyze data using statistical methods to identify critical product insights from customer discovery and viewing experiences.
• Define and deploy best practices in Machine Learning & MLOps/LLMOps, and mentor colleagues.
• Translate analytic insights into concrete, actionable recommendations for business or product improvement.

Required Skills

• 5 to 8 years of experience as Data Scientist or GenAI specialist.
• 2 to 3 years of experience in Generative AI solution development.
• Hands-on experience in GenAI frameworks including Llamaindex, Langchain, and Autogen.
• Strong understanding of LLMs, associated technologies like RAG, Agents, VectorDB, and Guardrails.
• Experience in cloud services such as Azure, GCP, and AWS.
• Expertise in Python and R, and frameworks like Tensorflow and Keras.
• Experience fine-tuning Large Language Models (LLMs) using techniques like PEFT (LoRA, QLoRA).
• Proficiency with vector databases such as Pinecone or Qdrant.
• Knowledge of NLP algorithms for tasks like entity extraction, text classification, and question answering.

Key Skills

Education

Any Graduate