Machine Learning Engineer

• Implement applications following 12-factor principles to build products and iterative enhancements
• Own the full stack of software products and backend services
• Leverage test-driven development and continuous integration to ensure product agility and quality
• Participate in product architecture and design decisions
• Design, develop, and maintain UI, APIs, backend services, and supporting infrastructure
• Practice daily paired programming and test-driven development
• Expand test coverage and ensure adherence to test-driven development practices
• Execute product strategy with customer needs in mind
• Serve as an expert on a business domain and provide leadership on at least one technology stack
• Coach more junior team members on technologies and XP practices
• Establish continuous integration, delivery, and deployment pipelines
• Review deployment readiness through automated and manual verification
• Troubleshoot production issues and perform root cause analysis during service disruptions
• Support software products in user environments
• Address security findings, vulnerability remediation, and compliance requirements
• Lead and participate in team standups
• Participate in retrospectives and derive actionable improvements
• Participate in iteration planning meetings to align on backlog stories and chores

Machine Learning Engineer jobs in Illinois

Senior Applied Machine Learning Engineer – Software Engineering Focus