- Collaborate with business and data teams to define, design, and develop cutting edge AI/MLGen AI algorithms to solve real-world business problems

- Analyze structured and unstructured data from a number of drivers in the interest of solving specific
questions/problems with processes in the various functional areas

- Communicate findings and results to non-technical stakeholders and provide actionable insights.

- Optimize and fine-tune existing ML/AI models to improve their performance and accuracy.

- Ensure data privacy and security practices are upheld throughout the AI development process.

- Experience in using Python and hands on experience in building models with machine learning frameworks or algorithms

- Develop/Support GenAI solutions for NLP involving LLM (Large Language Models) such as GPT, Flacon, and

- LLaMA among others, or for Computer Vision involving GANs, Diffusion models etc.

- Track record in data modelling and data analytics tools like, SQL, Python and good knowledge in advanced analytics / Machine learning / NLP / statistical / data mining / Text mining techniques

- Analyze structured and unstructured data from a number of drivers in the interest of solving specific
questions/problems with processes in the various functional areas

- Deliver industry best practices, and create code standards, presentations and other relevant documents basis stakeholder requirements.

- Work in close collaboration with the Client team on establishing relationship with stakeholders, identify new opportunities, areas of growth

- Provide Project, Client & Team Management and Monitor progress of deliverables on regular basis and ensure timely resolution of issues

- Brainstorming on pain areas/Identifying reasons for issues/Issue Resolution, diagnosis of inefficiencies in the current process and figuring out ways to resolve it

- Provide technical direction to project team members across data modeling, data manipulation, visualization, predictive modeling and reporting in projects across Insurance Value Chain

- Facilitate client working sessions and lead recurring project status meetings