Data Scientist - Generative AI Solutions (5-10 yrs)

Role Overview :

We are looking for an experienced Data Scientist with expertise in Databricks, web frameworks, NLP, Generative AI, Machine Learning, Deep learning and API development. The role involves leading the technical architecture and delivery of advanced GenAI solutions for clients, ensuring seamless integration into existing systems. A strong understanding of application architecture, pricing, and documentation is crucial for success.\

Key Responsibilities :

- Lead the development and deployment of Generative AI solutions using Databricks and advanced web frameworks.

- Architect and implement APIs to serve Generative AI models for production environments.

- Design end-to-end solutions for clients, focusing on GenAI applications, ensuring scalability and performance optimization.

- Provide expertise on pricing models, manage cost estimates, and develop Bill of Materials (BoM) for client projects.

- Collaborate with clients and internal teams to understand requirements and deliver tailored GenAI solutions.

- Document workflows, API structures, and architectural designs, ensuring transparency and clarity for all stakeholders.

- Effectively communicate with clients, providing regular updates on project progress and addressing any technical questions.

Roles & Responsibilities :

Key Requirements :

- Minimum 5 years of relevant experience in AI/ML development and deployment.

- Proven experience developing and deploying end-to-end applications in production environments.

- Extensive hands-on experience with Databricks for building data pipelines and GenAI model development.

- Strong expertise in building and deploying APIs using modern web frameworks to serve GenAI models.

- In-depth knowledge of Generative AI models (e.g., GPT, LLAMA, Gemini, Anthropic and Open source models) and API integration.

- Experience conducting architecture and technical discussions with clients.

Technical Skills :

- Proficient in Python and libraries for GenAI (e.g., Hugging Face, OpenAI, Open source or custom-built transformer models).

- Experience with cloud platforms (preferably Azure/AWS) for deploying AI and GenAI solutions.

- Strong architectural skills for designing scalable and performant GenAI applications.

- Implement and integrate advanced LLM (Large Language Models) techniques, including LangChain, LlamaIndex, and other frameworks, for developing GenAI solutions.

- Apply prompt engineering techniques to optimize GenAI model outputs for specific client use cases.

- Ensure robust AI safety guardrails are in place during the development of Generative AI applications, focusing on prevention of unsafe outputs.

Why join Exponentia :

- Expand your knowledge and work with cutting-edge technologies.

-Opportunity to work with some of the best minds and collaborate with them.

- Learn from Industry experts.

- Get Certified with latest technologies and platforms.

- Get access to networks of OEM partners and business leaders who are setting new standards at the cutting-edge of

technology.

- Exponentia.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees