Lead Data Scientist

ABOUT THE ROLE

A talented Data Scientist (DS-3) with generative AI expertise to contribute to the development and implementation of advanced AI solutions. You'll work on generative AI projects, applying your skills in LangChain, LangGraph, SQL, Python, AWS Bedrock, and Databricks to solve business challenges as part of our innovative team.

As a Lead Data Scientist you'll be:

• Implementation & Development: Implement generative AI solutions leveraging AWS Bedrock and Databricks based on established architectural patterns
• Technical Execution: Apply your expertise in generative AI, LLMs, and related technologies to deliver high-quality solutions
• Cross-Functional Collaboration: Work with product, engineering, and business teams to understand requirements and implement effective AI solutions Statistical Analysis: Apply appropriate statistical methods to validate models and hypotheses
• Data Analysis: Conduct thorough exploratory data analysis and handle data quality issues effectively Feature Engineering: Implement feature engineering techniques for ML models, including dimensionality reduction and feature selection
• Model Development: Build and tune generative AI models using frameworks like LangChain and LangGraph with proper regularization techniques
• Intent Classification: Implement intent detection systems combining LLMs with data analysis techniques
• Response Generation: Develop components for generating structured responses by combining AI with business rules
• Continuous Learning: Stay current with generative AI techniques and apply new approaches to improve solutions
• Documentation & Knowledge Sharing: Create clear documentation and share knowledge with team members
• Testing & Validation: Thoroughly test generative AI applications to ensure they meet requirements and quality standards

WHAT ARE WE LOOKING FOR

• 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

Nice to Have:

• Advanced degree in Computer Science, Data Science, Machine Learning, or related field
• Experience in customer support AI applications Knowledge of vector databases and embedding techniques
• Familiarity with semantic search technologies
• Experience with data pipelines and ETL processes
• Knowledge of software development best practices including version control
• Contributions to data science or AI projects or communities

WHAT YOU WILL GET IN RETURN

Make work, work for you! We are embracing new ways of working and support flexible working arrangements. With our Working Out of Office (WOO) policy our colleagues can work remotely from home or anywhere in their assigned Indian state. Additionally, you can work from a different country or Indian state for 90 days of the year. Plus, you'll get:

• 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

TIDEAN WAYS OF WORKING

At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams.

While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.