Data Scientist

Responsibilities

• Architect and implement AI solutions utilizing cutting-edge technologies like LLM, Langchain, and Machine Learning.
• AIML solution development in Azure using Python.
• Ability to build and finetune the model to improve the performance.
• Create own technology if off-the-shelf technology is not solving the problem. E.g changes to traditional RAG approaches, finetune LLM, create architectures.
• Use experience and advise leadership and team of data scientists’ best approaches, architectures for complex ML use cases.
• Lead from the front, responsible for coding, designing, and ensuring best practices & frameworks are adhered by the team.
• Create end to end AI systems with responsible AI principles.
• Develop data pipelines using SQL to extract and transform data from Snowflake for AI model training and inference.
• Possess expertise in Natural Language Processing (NLP) & GenAI to integrate text-based data sources into the AI architecture.
• Collaborate with data scientists and engineers to ensure seamless integration of AI components into existing systems.
• Responsible for continuous communication about the team progress to key stakeholders.

Required Skills

Python, GenAI, AWS

Preferred Skills

NLP, AI/ML, LLM