Conduct research and analyze state-of-the-art Gen AI techniques to improve prompt generation models and algorithms. Should be able to utilize LLM open-source models and perform hyper-parameter tuning to configure prompts as per business needs.
Develop and optimize high-quality prompts for applications.
Conduct experiments, analyze data, and provide insights to improve the performance and effectiveness of prompt generation models.
Beyond the foundational skills in problem-solving, Python coding, and the ability to navigate through challenges, this role requires expertise in deploying models into production
Leadership skills are important. As Senior Data Scientist, you will review the work of junior team members to ensure top-notch quality and provide mentorship as and where needed
Advanced understanding of statistical analysis and experienced in developing machine learning models
Preferred experience in Insurance domain
Skillset Required
Experience in creating prompts with OpenAI and Anthropic models
6 - 8 years of experience as a NLP and Python developer and hands-on experience in prompt engineering
Fluency with advanced Machine learning algorithms, Excel, Relational database (SQL/PLSQL)
Data gathering, research and analytical abilities to develop insightful conclusions and generate solutions
Experience on AWS services e.g. EC2, VPC, S3, ELB, RDS, Cloud Watch, Cloud Front, etc. is a plus
Familiarity with Databricks and MLFlow is desired
Good to have working knowledge of GitHub and Jira
Digital Solution Center
Job Classification
Industry: Software ProductFunctional Area / Department: Finance & AccountingRole Category: FinanceRole: Finance ManagerEmployement Type: Full time