Staff Machine Learning Engineer Manpur (India)

Credit Acceptance is proud to be an award-winning company with workplace

recognition in multiple categories Our world-class culture is shaped by

dedicated Team Members who share a drive to succeed as professionals and

together as a company. A outstanding product, amazing people and our stable financial

history have made us one of the largest used car finance companies in the United

States.

In this role, you will work as a dedicated member of a globally distributed

team, partnering closely with business partners in the U.S. to design, build,

and scale solutions that directly impact our customers and operations. While

your legal employer will be our EoR partner, you will be fully integrated into

our Credit Acceptance team for day-to-day work and collaboration.

We are seeking a highly motivated and experienced Staff MLE within AI team. The

ideal candidate will have a strong technical background in decision science,

machine learning, and generative AI with a proven track record in solving

business problems and implementing large-scale automated solutions in

partnership with the respective engineering teams. In this role, you will

partner with business and engineering stakeholders to formulate the vision to

achieve the company’s strategic goals and co-lead the roadmap to deliver

creative solutions for dealers, consumers and team members. As a Staff, MLE

at Credit Acceptance, you will play a pivotal role in the success of this

mission as you would lead the development of AI-powered solutions across

different business areas. This involves understanding the business processes,

identifying new prospects to add value using ML/AI algorithms and harnessing

data sources to build state-of-the-art ML/AI solutions.

Outcomes and Activities

ML Outcomes

Explore and apply advanced machine learning techniques, including not

limited to large language models (LLMs), deep learning, and graph neural

networks, to solve complex challenges across the organization.

Collaborate with