Lead Machine Learning Engineer

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.

• 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

• 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 structured outputs to mitigate hallucination and business risk
• Proficiency with AWS stack related to ML (e.g. Sagemaker, Lambda, Step functions, IAM)
• Strong software engineering fundamentals and best practices (CICD, Test‑Driven Development, Infrastructure as Code)
• Experience translating business objectives into technical roadmaps and deliverables
• Ability to balance technical excellence with business priorities and timelines
• Strong stakeholder management and cross‑functional collaboration skills

Experience in subrogation, claims processing, insurance or financial technology

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note:
  
  this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In‑office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement
• Team events & local benefits
• Sports compensation

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.