We are seeking an experienced and highly skilled Sr. Data Scientist to join our dynamic team. In this role, you will play a critical role in developing, training, fine-tuning LLM Models. The role is an intersection of AIML, Generative AI and Technology. You will be required to develop key integrations with RAG, develop modules and solutions for Agentic AI Platform as well as train/fine-tune models on proprietary data.

While the role would be a combination of AI and Tech - it is highly weighed toward AI. You will be involved in developing innovative solutions to complex business problems. You will collaborate closely with cross-functional teams to extract actionable insights from large and diverse datasets, enabling the company to make informed strategic decisions.

Roles & Responsibilities :

- Develop and implement advanced statistical, ML/AI, and LLM models to solve complex business problems and optimize performance.

- Fine-tune and train domain-specific LLMs, including multi-modal (text, speech, vision, image) models.

- Hands-on experience with fine-tuning LLMs using LoRA, PEFT, or similar methods.

- Design and implement RAG systems and GenAI architectures (e.g., Knowledge Graphs, modular agent architectures) for enhanced agent outcomes.

- Translate GenAI problems into AI/ML problem statements and design optimal solution architectures.

- Read, interpret, and implement complex academic research, adapting it into scalable, enterprise-ready AI systems.

- Collaborate with academic and research partners to co-develop innovative solutions, publish findings, and integrate cutting-edge methods.

- Lead end-to-end data science pipelines : data collection, cleaning, feature engineering, model development, validation, deployment.

- Explore and analyze large datasets to derive insights and inform business strategies.

- Build cost-optimized, scalable AI solutions across multi-cloud environments.

- Apply MLOps/LLMOps practices for model lifecycle management and continuous improvement.

- Collaborate with cross-functional stakeholders to align AI solutions with business objectives.

- Mentor and guide junior data scientists, contributing to team growth and capability building.