Digital Product Engineer - Machine Learning & AI

Position Overview International is undergoing a transformation from being a supplier of trucks, buses, and engines to becoming a provider of complete and sustainable transport solutions. As part of this journey, we are investing heavily in digital capabilities, data products, and AI-enabled tools. We have an exciting opportunity for a Digital Product Engineer - Machine Learning / AI . This role sits at the intersection of Product, Design, and hands-on ML/ AI engineering, and is responsible for design, development, deployment and operation of production-grade ML systems at scale. This role focuses on bridging the gap between data science and at-scale, production ready solutions – turning data and models into reliable, observable, and secure products. In this role you will work following a product-led approach, including close collaboration with product owner, data scientists, software engineers, and other cross-functional team members/ stakeholders to operationalize machine learning solutions end-to-end, with a strong emphasis on MLOps, cloud infrastructure, data platforms, and product engineering excellence. We are looking for someone with a strong sense of ownership, curiosity, and a solution-orientated mindset of “we may not have done this before—let’s figure it out and learn quickly.” This position will be based in Lisle, Illinois with hybrid in-office and remote work flexibility. Responsibilities ML Product Engineer Build, deploy and maintain production ML systems and solutions end-to-end (training > deployment > monitoring). Partner with data scientists to operationalize models for real-world use Take a hands-on role in building and iterating solutions, turning ideas into working prototypes and production capabilities. ML Ops & Reliability Define and Implement ML Ops best practices, including DevOps and CI/CD, versioning and monitoring / telemetry. Deploy models as scalable, reliable solutions – part of APIs, headless services, APIs, or embedded capabilities. Monitor model performance, data quality, and drive retaining strategies. Product Collaboration Partner with engineering, architecture, UX, and data science teams to translate models and insights into usable, scalable product experiences. Help contribute to the product goals and vision, roadmap, and delivery plan for ML/AI-driven capabilities by identifying key problems, decisions to improve, required data, and expected business outcomes. Work in multi-disciplined product teams and with cross-functional stakeholders (internally and externally as needed). Actively support delivery by clarifying requirements, making trade-offs, and unblocking progress across stakeholders. Contribute to a team culture that values curiosity, collaboration, pragmatism, and continuous learning. Responsible AI and Trust Ensure solutions meet standards for security, reliability and maintainability Ensure AI capabilities are practical, trusted, and responsibly deployed through appropriate guardrails, transparency, and human-in-the-loop design. Minimum Requirements Bachelor's degree and at least 9 years of Information Technology or IT architecture experience At least 2 years of lead experience OR Master's degree and at least 5 years of Information Technology or IT architecture experience At least 2 years of lead experience OR At least 12 years of Information Technology or IT architecture experience At least 2 years of lead experience Additional Requirements 2-3 Years experience building and deploying ML systems using cloud infrastructure, especially in product-led, transformation environments (e.g. Azure ML, Compute, AKS, Azure Storage, Databricks, Key Vault, Palantir, etc.) 1-2 years of MLOps Experience, including DevOps-CI/CD for ML workflows, model and experiment versioning, monitoring models, performance and drift 2-3+ years of progressively responsibility delivering technical solutions in Product-led teams, or similar role using an Agile/ Scrum environment. Comfort with modern product practices, including MVP definition, experimentation, metrics, feedback loops, and iterative delivery. Qualified candidates, excluding current employees, must be legally authorized on an unrestricted basis (US Citizen, Legal Permanent Resident, Refugee or Asylee) to be employed in the United States. We do not anticipate providing employment related work sponsorship for this position (e.g., H-1B status) Desired Skills Bring a passion for working to understand needs and challenges with a customer-centric mindset. Have prior experience and skills in gathering and analyzing Voice of Customer, rapid innovation and design-thinking. Demonstrate initiative, with the ability to work independently when needed, and pragmatic problem-solving abilities. Experience following a strong analytic approach to evaluate complex choices, identify issues, and propose effective solutions and decisions. Excellent written and verbal communication skills for interacting with users, vendors, and other IT professionals. Ability to translate complex technical topics into easy-to-understand information with a strong attention to detail. Production-grade Python and ML engineering experience Working knowledge of common data engineering, ML /AI platforms and software solutions, including ChatGPT, Claude and Copilot, Databricks, Palantir AI-Foundry, LangChain or similar LLM orchestration frameworks, and Kubernetes and/or similar container technologies Experience deploying ML models as scalable APIs or Services Benefits and Compensation This position offers competitive market-based compensation, along with a comprehensive benefits package designed to support employee wellbeing. You can learn more about the benefits offered for this position by visiting https://careers.international.com/#benefits.The expected salary offered for this position will fall within the stated range, with the final offer based on the candidates' applicable skills, knowledge, and experience. EEO Statement We are an Equal Opportunity Employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. If you are a qualified individual with a disability and require a reasonable accommodation to access the online application system or participate in the interview process due to your disability, please email [email protected] to request assistance. Kindly specify Job Requisition Number / Job Title and Location in response. Otherwise, your request may not be considered.