Data Scientist

We are actively seeking an experienced Senior Data Scientist - Agentic AI Developer to join our innovative team. This pivotal role involves leading the design, development, and deployment of advanced AI solutions, specifically focusing on Generative AI and Agentic AI. The ideal candidate will leverage their deep expertise in machine learning and data science to drive significant impact, creating intelligent systems that enhance our product capabilities and user experiences.

Key Responsibilities

• Lead the architecture and development of Agentic AI systems and Generative AI models.
• Utilize AWS Bedrock for scalable AI deployments and infrastructure management.
• Implement and optimize Machine Learning algorithms and data science methodologies.
• Work extensively with Databricks for data processing, model training, and MLOps workflows.
• Develop and integrate Large Language Models (LLMs) and Retrieval Augmented Generation (RAG) techniques.
• Apply frameworks such as LangGraph and LangChain to build sophisticated AI agents.
• Collaborate with cross-functional teams to translate business requirements into technical specifications.
• Mentor junior data scientists and contribute to a culture of continuous learning and innovation.

Requirements

• 6-8 years of professional experience in Data Science, with a strong focus on AI development.
• Proven expertise in Agentic AI and Generative AI (GenAI) concepts and applications.
• Hands-on experience with AWS Bedrock.
• Proficiency in Databricks for data engineering and machine learning tasks.
• Strong programming skills in Python.
• Experience with Large Language Models (LLMs) and Retrieval Augmented Generation (RAG).
• Familiarity with AI orchestration frameworks like LangGraph and LangChain.
• Solid understanding of Machine Learning principles and statistical modeling.
• Ability to join immediately or within a 0-15 day notice period.

What We Offer

• An exciting opportunity to work on cutting-edge Agentic AI and Generative AI technologies.
• A collaborative and supportive remote work environment.
• Exposure to industry-leading cloud platforms like AWS.
• Opportunities for professional growth and skill development.
• A chance to make a significant impact on innovative projects.