Exadel
Vehicle Lifecycle Solutions
LeadMachineLearningEngineer
Neural analysis suggests this role is
optimal for Lead candidates.
“Lead Machine Learning Engineer at Exadel. Skills: Machine Learning, MLOps, GenAI. Deliver best-in-industry models. Meet with business stakeholders”
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
Deep understanding of ML lifecycle, Excellent communication ability, Hands-on experiment design, Expertise with ML system design, Experience in engineering GenAI features, Proficiency with AWS stack, Software engineering fundamentals, Experience translating business objectives, Ability to balance technical excellence, Stakeholder management skills, Cross-functional collaboration skills
Nice to Have
Experience in subrogation, Claims processing experience, Insurance experience, Financial technology experience
What You'll Do.
Deliver best-in-industry models
Meet with business stakeholders
Collaborate with data engineering
Collaborate with software engineering
Mentor junior ML engineers
How You'll Work.
Team & Collaboration
Business stakeholders; Data engineering team; Software engineering team; Junior ML engineers
Communication Scope
Explain technical concepts
Process & Methodology
Technical roadmaps
Full Job Description
Why Join Exadel 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. About the Client 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. What You’ll Do Deliver best-in-industry models for detection of subrogation opportunities using the latest ML advancements and best software engineering practices Meet and collaborate with business stakeholders (customers, sales and product managers) to drive the development of new models and features based on Collaborate with data engineering and software engineering team to ensure a smooth flow of data across teams and APIs related to outbound subrogation Mentor junior ML engineers in the outbound subro team to form a high-performing team What You Bring Deep understanding of ML lifecycle: development, evaluation, deployment, monitoring, and iteration Excellent communication skills; ability to explain complex technical concepts to non- technical stakeholders Hands-on experience in experiment design and model valuation Expertise with ML system design, model deployment, and production ML systems Experience in engineering production-grade GenAI features with robust validation, sanity checks, and stru
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