Lead Data Scientist (Generative AI) - Remote

Overview

The Lead Data Scientist will contribute to the development and implementation of advanced AI solutions, focusing on generative AI projects and leveraging various technologies to solve business challenges.

In Short

• Implement generative AI solutions using AWS Bedrock and Databricks.
• Apply expertise in generative AI and related technologies.
• Collaborate with cross-functional teams for effective AI solutions.
• Conduct exploratory data analysis and address data quality issues.
• Build and tune generative AI models using LangChain and LangGraph.
• Implement intent detection systems combining LLMs with data analysis.
• Develop components for generating structured responses.
• Stay updated with generative AI techniques.
• Create documentation and share knowledge with the team.
• Test generative AI applications to ensure quality standards.

Requirements

• 6+ years of experience in data science or related field.
• 1+ years of hands-on experience with generative AI and LLMs.
• Strong proficiency in Python and SQL.
• Solid understanding of statistics and hypothesis testing.
• Experience with LangChain and LangGraph.
• Understanding of prompt engineering and fine-tuning techniques.
• Experience with AWS services.
• Familiarity with Knowledge Graphs.
• Knowledge of evaluation approaches for generative AI outputs.
• Experience with Databricks or similar platforms.

Benefits

• Competitive salary.
• Health insurance for self and family.
• Term and life insurance.
• Learning and development budget.
• Work-from-home setup allowance.
• 15 days of privilege leaves.
• 12 days of casual leaves.
• 12 days of sick leaves.
• 3 paid days off for volunteering or L&D activities.
• Stock options.