Job Summary
Al Works is a newly created specialized unit within Max Life, to leverage artificial intelligence and machine learning to solve complex business problems across the insurance value chain. We are looking for candidates who are enthusiastic for an exciting, fast-paced work environment and have a strong personal interest in learning, researching, and creating cutting edge Al solutions which make high business impact.
As part of Al Works team, you would focus on conceptualizing, developing and deploying Artificial Intelligence based solutions across life insurance value chain to support, sustain and enhance Max Lifes Business.
Key Responsibilities
Develop Machine learning based solutions for business needs spanning across Life Insurance lifecycle and ensure their integration with technology systems
Working with large data sets and bringing out insights from Data
Perform data discovery and validate hypothesis to support business decisions and for decisions on model development
Ideate and build models, compare/ validate / QC models, monitor model performande and flag out performance deviation




High attention to detail combined with an ability to work in a quick paced environment with minimal guidance
Explore new age Al techniques and apply those for solving business problems at MLI
Prepare and present the analysis and model outputs to key business stakeholders
How do you know that you are fit for this role
You have a hands-on experience using python for data science projects
You have execution knowledge of Machine Learning/ Deep learning algorithms using PySpark, Scikit-learn, and Tensor Flow etc.
You have been part of a team developing Al-Machine Learning technologies with a strong background in advanced mathematical concepts and equally good understanding of algorithms.
You can work with a lean team internally, and you are a self starter.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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