We are seeking a high-impact ML Engineer / Full-Stack Software Engineer to design, build and scale the Zero Base Rate (ZBR) platform—an AI-driven solution that estimates freight costs using telematics, ML and cost modeling. As a hands-on builder across backend, ML and front-end layers, you will accelerate productization and global rollout while supporting MLOps standards and pipeline implementation.
Responsibilities
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Development and scaling of the ZBR application across front-end, backend and ML integration in the USA and Europe
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Creation and localization of robust cost modeling engines including fixed/variable costs, route simulation and fuel estimation
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Design of APIs and services for lane-level cost estimation and pricing recommendations
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Delivery of production-grade performance across scalability, reliability and security
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Integration of ML models for route cost estimation, fuel consumption modeling and cost-per-ton / lane optimization
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Collaboration with telematics and operational datasets such as fuel, distance and routes
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Support for continuous model improvement and deployment pipelines
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Enhancement of front-end applications with Angular or React and backend services with Python and APIs
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Translation of business workflows into intuitive user interfaces for quotation and lane management
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Deployment and management of solutions in Azure-based environments
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Contribution to architecture decisions across data pipelines, app services and security
Requirements
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Strong software engineering fundamentals with production-grade systems
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Proficiency in Python backend development including APIs and services
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Skills in front-end development with Angular or React
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Experience with cloud platforms, preferably Azure
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Understanding of ML integration in an applied rather than pure research context
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Excellent English communication, written and verbal, and a US VISA
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High learning agility with fast ramp-up on new domains and technologies
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Strong ownership and execution mindset with a hands-on, builder mentality
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Capability to work with vibe coding and rapid prototyping through to production hardening
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Proven ability to build end-to-end AI applications across frontend, backend and ML
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Competency in owning backend and ML integration layers and delivering production-ready features
Nice to have
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Previous experience with Global Data Science teams at CEMEX
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Background in logistics / supply chain analytics and cost modeling/pricing tools
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Familiarity with telematics / operational data systems and AI-enabled enterprise applications
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Claude Code Certified
We offer
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International projects with top brands
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Work with global teams of highly skilled, diverse peers
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Healthcare benefits
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Employee financial programs
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Paid time off and sick leave
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Upskilling, reskilling and certification courses
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Unlimited access to the LinkedIn Learning library and 22,000+ courses
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Global career opportunities
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Volunteer and community involvement opportunities
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EPAM Employee Groups
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Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.
