
Lead Data Scientist(Gen AI)
- Hyderabad, Telangana
- Permanent
- Full-time
- 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
- 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
- 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
- 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