Senior Machine Learning Engineer

Exadel is an AI-first global tech company with over 25 years of engineering leadership, employing more than 2,000 team members and managing 500+ active projects for Fortune 500 clients such as HBO, Microsoft, Google, and Starbucks. The client is a leading provider of vehicle lifecycle solutions headquartered in Chicago, connecting a network of insurance companies, repair facilities, parts suppliers, and data providers to enhance productivity and customer experience in the transportation industry.

• 6+ years of professional experience in .NET application architecture and development with strong C# skills
• 5+ years designing and deploying cloud-native solutions using microservices, RESTful APIs, and distributed-system design on Azure or AWS
• Hands-on experience with AI-assisted development tools such as GitHub Copilot, Claude Code, or Cursor
• Proven experience with security protocols like OAuth2 and OpenID Connect and identity providers such as Okta and Azure AD/Entra ID
• Knowledge of application security best practices including secure APIs, rate limiting, secrets management, RBAC, and Managed Identities
• Ability to produce and present architecture artifacts including diagrams and solution blueprints
• Solid understanding of data integration patterns and event-driven systems primarily on Microsoft Azure (Event Hubs, Service Bus, Kafka)

• Design and evolve cloud-native architectures across the full platform stack on Microsoft Azure and equivalent AWS services
• Define and deliver resource-oriented REST APIs focusing on performance, security, and usability
• Apply microservice and domain-driven design approaches to decompose business domains
• Implement modern architectural patterns such as event-driven, CQRS, and serverless
• Produce and present architecture artifacts for engineering and executive audiences
• Provide technical leadership on cloud modernization, legacy migration, AI-readiness, and platform performance
• Embed security and compliance practices including identity management, access control, and encryption
• Collaborate with product and data teams to integrate AI and Generative AI capabilities into core products
• Champion AI and intelligent automation to improve engineering productivity and delivery velocity

Exadel is an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more. Reasonable accommodations are available for individuals with disabilities. The job description is not exhaustive and may evolve based on business needs.