Roles and Responsibilities :

• Design, develop, and deploy AI/ML models using Python to solve complex business problems.
• Collaborate with cross-functional teams to gather requirements and deliver high-quality solutions.
• Conduct data analysis, feature engineering, and model evaluation to optimize performance.
• Stay up-to-date with industry trends and best practices in machine learning.

Job Requirements :

• Should have 3-5 years of experience in Insurance/Banking/Lending/Credit Bureau or Financial sector
• Extensive hands-on experience in working with Python, Pandas, Numpy, Seaborn, data modeling, feature engineering and developing ML models
• Extensive hands-on experience in working with Excel, SQL, PowerBI
• Should have good knowledge and working experience in creating reporting datasets, creating data refresh strategy and implementing role based data security on reporting tools
• Should have good knowledge and working experience in story-telling and presenting actionable insights to stake holders
• Contribute to knowledge base and mentor team members
• Good to have expertise on BI Tools
• Good to have knowledge on AWS, Sagemaker, Amazon S3, Cloudwatch Good to have knowledge in CI/CD pipelines, ML ops.