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 ClientThe 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
- 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, Stepfunctions, 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
English levelUpper-Intermediate
Legal & Hiring Information- 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
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
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.
Skills Required
- Deep understanding of ML lifecycle
- Excellent communication skills
- Hands-on experience in experiment design and model valuation
- Expertise with ML system design and production ML systems
- Proficiency with AWS stack related to ML
- Strong software engineering fundamentals
- Experience in translating business objectives into technical roadmaps
Exadel Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Exadel and has not been reviewed or approved by Exadel.
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Fair & Transparent Compensation — Pay is considered competitive for certain roles and locations, with timely and predictable payroll practices. Compensation ranges align to market in higher‑cost geographies and senior tracks, indicating offers can be strong when role and market justify it.
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Healthcare Strength — U.S. medical insurance options are described positively, with health coverage and PTO called out as standouts. Company materials and third‑party listings consistently include comprehensive healthcare as a core benefit.
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Wellbeing & Lifestyle Benefits — Flexible, remote‑first norms and outcome‑based work are positioned as core benefits. Learning support such as paid certifications, courses, and conferences is emphasized, alongside a well‑being program.
Exadel Insights
What We Do
For more than 20 years, Exadel has been delivering Digital Transformation services, enterprise and custom software solutions for Fortune 500 clients, including HPE, Deloitte, Home Depot and McKesson. With 20+ locations and delivery centers across the US and Europe, Exadel solves the most complex engineering problems using Agile methodologies, offering a scalable and skilled mix of multi-shore resources at the industry's most competitive price. Exadel’s digital transformation solutions and services help chart new strategies that are built upon creative thinking, cutting-edge design, and technical innovation, designed for the growing digital landscape of business. Enterprise Services - Digital Transformation Experts - Developing mission-critical software and mobile applications - Advising companies on how best to leverage open source technology - Helping companies plan and implement migrations to better technology stacks - Providing QA, automation, and testing services for application development - Supporting and maintaining applications and systems for companies - Providing on-line training and mentoring to companies - Assisting companies in evaluating their current enterprise software architecture and planning for improvements or new systems.
