Data Scientist - Natural Language Processing

Responsibilities:

• Collaborate in developing and enhancing NLP, RAG, and LLM-related projects and ensuring their effectiveness and robustness.
• Proactive in gathering and understanding data and requirements for the projects.
• Conduct model evaluations using established metrics and provide insights for model improvement.
• Rapidly build Proof of Concepts (POCs) by working closely with internal and external stakeholders.
• Confident is using FastAPI and Streamlit to create effective, user-friendly interfaces and endpoints as needed.
• Coordinate with Product managers, DevOps and other team members to manage integrations and ensure successful testing.
• Actively research and adopt emerging frameworks and methodologies to enhance our applications.
• Exhibit strong communication skills, ensuring clear updates and feedback loops with all stakeholders.

Key Skills and Expertise Required:

• Programming & Frameworks: Proficient in Python, with experience in FastAPI and Streamlit for rapid prototyping.
• NLP & Generative AI: Strong foundation in NLP, Generative AI, Language Models (LLMs), and Retrieval-Augmented Generation (RAG).
• Model Development & Evaluation: Capable of building and evaluating AI and ML models and evaluate with metrics to assess model performance.
• Agentic Frameworks: Familiarity with agentic frameworks (e.g., LangGraph or alternatives) is preferred. (good to have)
• Basic Machine Learning and Deep Learning: Sound knowledge of foundational ML and DL concepts.
• Project Delivery & Coordination: Demonstrated ability to collaborate with DevOps and other stakeholders for smooth integration, testing, and deployment of AI applications.
• Experience Range: 2-5 years in NLP and Generative AI