Design and implement document intelligence pipelines on AWS while collaborating with experts to refine requirements for extraction and maintaining evaluation frameworks for accuracy.
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
Experience with AWS tools for ML Engineering and ML deployment (Sagemaker, Lambda, Cloudformation/CDK, Step Functions)
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Education Stipend
Ongoing learning & reimbursement
Health Insurance
Medical healthcare
Other Benefit
Top-tier equipment provision
Exadel is an AI-first global tech company that partners with enterprise leaders to develop advanced AI platforms and drive digital transformation solutions. With over 25 years of engineering expertise and a robust team of 2,000 professionals, we power over 500 projects for Fortune 500 clients, making us a leader in the tech landscape.
Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.
Senior Machine Learning Engineer Q&A's