Lead Data Scientist(Gen AI)

Job Description

Tide is seeking a talented and experienced Lead Data Scientist with expertise in generative AI to join their innovative team in Bengaluru. The successful candidate will contribute to the development and implementation of advanced AI solutions, working on generative AI projects and applying their skills in LangChain, LangGraph, SQL, Python, AWS Bedrock, and Databricks to solve business challenges.

The Lead Data Scientist will collaborate with product, engineering, and business teams to understand requirements and implement effective AI solutions. They will also conduct thorough exploratory data analysis, handle data quality issues, implement feature engineering techniques, and build and tune generative AI models.

Responsibilities:

• Implement generative AI solutions leveraging AWS Bedrock and Databricks.
• Apply expertise in generative AI, LLMs, and related technologies.
• Collaborate with cross-functional teams to understand requirements.
• Apply statistical methods to validate models and hypotheses.
• Conduct thorough exploratory data analysis.
• Implement feature engineering techniques for ML models.
• Build and tune generative AI models using frameworks like LangChain and LangGraph.
• Implement intent detection systems combining LLMs with data analysis techniques.
• Develop components for generating structured responses by combining AI with business rules.
• Stay current with generative AI techniques.
• Create clear documentation and share knowledge with team members.
• Thoroughly test generative AI applications.

Requirements:

• 6+ years of experience in data science, machine learning, or related field
• 1+ years of hands-on experience with generative AI, large language models (LLMs), or natural language processing
• Experience with traditional NLP models and techniques
• Strong proficiency in Python and SQL for data retrieval and processing
• Solid understanding of statistics, hypothesis testing, and probability distributions
• Experience with LangChain, LangGraph for implementing AI workflows
• Understanding of prompt engineering, RAG (Retrieval Augmented Generation), and fine-tuning techniques for LLMs
• Experience implementing intent detection systems using generative AI
• Familiarity with rule-based systems to augment AI capabilities
• Experience with cloud platforms, particularly AWS services
• Familiarity with Knowledge Graphs for LLM use cases
• Knowledge of evaluation approaches for generative AI outputs
• Experience with Databricks or similar data processing platforms

What Tide offers:

• Competitive salary
• Self & Family Health Insurance
• Term & Life Insurance
• OPD Benefits
• Mental wellbeing through Plumm
• Learning & Development Budget
• WFH 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