We have an exciting opportunity for a Digital Product Engineer - Machine Learning / AI. This role ... Define and Implement ML Ops best practices, including DevOps and CI/CD, versioning and monitoring ...
We have an exciting opportunity for a Digital Product Engineer - Machine Learning / AI. This role ... Define and Implement ML Ops best practices, including DevOps and CI/CD, versioning and monitoring ...
Digital Product Engineer - Machine Learning & AI
Lisle, IL ยท On-site
$140K - $211K/yr
We have an exciting opportunity for a Digital Product Engineer - Machine Learning / AI . This role ... Define and Implement ML Ops best practices, including DevOps and CI/CD, versioning and monitoring ...
Digital Product Engineer - Machine Learning & AI
Lisle, IL ยท On-site
$140K - $211K/yr
We have an exciting opportunity for a Digital Product Engineer - Machine Learning / AI . This role ... Define and Implement ML Ops best practices, including DevOps and CI/CD, versioning and monitoring ...
Details Open Date 05/19/2026 Requisition Number PRN45104B Job Title Artificial Intelligence (AI) / Machine Learning (ML) Engineers Working Title AI Engineer Career Progression Track P00 Track Level ...
Details Open Date 05/19/2026 Requisition Number PRN45104B Job Title Artificial Intelligence (AI) / Machine Learning (ML) Engineers Working Title AI Engineer Career Progression Track P00 Track Level ...
Details Open Date 05/19/2026 Requisition Number PRN45104B Job Title Artificial Intelligence (AI) / Machine Learning (ML) Engineers Working Title AI Engineer Career Progression Track P00 Track Level ...
Details Open Date 05/19/2026 Requisition Number PRN45104B Job Title Artificial Intelligence (AI) / Machine Learning (ML) Engineers Working Title AI Engineer Career Progression Track P00 Track Level ...
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Machine Learning Engineer
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Perform model and AI risk governance related activities in line with enterprise risk framework, to ... engineering essential * Advanced knowledge of statistical and machine learning models (e.g ...
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Machine Learning Ai Developer information
What is the difference between Machine Learning Ai Developer vs Data Scientist?
| Aspect | Machine Learning Ai Developer | Data Scientist |
|---|---|---|
| Credentials | Bachelor's or higher in CS, AI, or related fields; certifications in ML/AI | Bachelor's or higher in CS, Statistics, or related fields; certifications in data analysis or ML |
| Work Environment | Develops AI models, algorithms, and applications; often in tech companies or R&D | Analyzes data, builds models, and provides insights; in various industries including finance, healthcare |
| Industry Usage | Primarily in AI product development, software, and tech firms | Across industries for data analysis, business intelligence, and decision-making |
While both roles require knowledge of machine learning and programming, Machine Learning Ai Developers focus on creating and deploying AI models and applications, whereas Data Scientists analyze data to extract insights and inform business strategies. The roles often overlap but differ in primary focus and application.
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Digital Product Engineer - Machine Learning & AI
International UTC of ColumbusLisle, IL โข On-site, Remote
Other
Posted 3 days ago
Job description
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
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Build, deploy and maintain production ML systems and solutions end-to-end (training > deployment > monitoring).
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Partner with data scientists to operationalize models for real-world use
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Take a hands-on role in building and iterating solutions, turning ideas into working prototypes and production capabilities.
ML Ops & Reliability
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Define and Implement ML Ops best practices, including DevOps and CI/CD, versioning and monitoring / telemetry.
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Deploy models as scalable, reliable solutions - part of APIs, headless services, APIs, or embedded capabilities.
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Monitor model performance, data quality, and drive retaining strategies.
Product Collaboration
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Partner with engineering, architecture, UX, and data science teams to translate models and insights into usable, scalable product experiences.
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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.
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Work in multi-disciplined product teams and with cross-functional stakeholders (internally and externally as needed).
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Actively support delivery by clarifying requirements, making trade-offs, and unblocking progress across stakeholders.
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Contribute to a team culture that values curiosity, collaboration, pragmatism, and continuous learning.
Responsible AI and Trust
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Ensure solutions meet standards for security, reliability and maintainability
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Ensure AI capabilities are practical, trusted, and responsibly deployed through appropriate guardrails, transparency, and human-in-the-loop design.
Minimum Requirements
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Bachelor's degree and at least 9 years of Information Technology or IT architecture experience
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At least 2 years of lead experience
OR
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Master's degree and at least 5 years of Information Technology or IT architecture experience
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At least 2 years of lead experience
OR
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At least 12 years of Information Technology or IT architecture experience
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At least 2 years of lead experience
Additional Requirements
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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.)
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1-2 years of MLOps Experience, including DevOps-CI/CD for ML workflows, model and experiment versioning, monitoring models, performance and drift
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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.
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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
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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.
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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.
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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.
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Production-grade Python and ML engineering experience
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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
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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.
Salary Minimum: USD $140,800.00/Yr.
Salary Maximum: USD $211,200.00/Yr.
Company Overview
About TRATONWith its brands Scania, MAN, International, and Volkswagen Truck & Bus, TRATON SE is the parent and holding company of the TRATON GROUP (https://traton.com/) and one of the world's leading commercial vehicle manufacturers. The Group's product portfolio comprises trucks, buses, and light-duty commercial vehicles. "Transforming Transportation Together. For a sustainable world.": this intention underlines the Company's ambition to have a lasting and sustainable impact on the commercial vehicle business and on the Group's commercial growth.
About InternationalFrom a one-man company built on the world-changing invention of the McCormick reaper in 1831, to the 15,000-person-strong company we are today,?few companies can lay claim to a history like International. Based in Lisle, Illinois, International Motors, LLC* creates solutions that deliver greater uptime and productivity to our customers throughout the full operation of our commercial vehicles. We build Internationalยฎ trucks and engines and IC Busยฎ school and commercial buses that are as tough and as smart as the people who drive them. We also develop Fleetriteยฎ aftermarket parts. In everything we do, our vision is to accelerate the impact of sustainable mobility to create the cleaner, safer world we all deserve. As of 2021, we joined Scania, MAN and Volkswagen Truck & Bus in TRATON GROUP, a global champion of the truck and transport services industry. To learn more, visit International.com.
*International Motors, LLC is d/b/a International Motors USA in Illinois, Missouri, New Jersey, Ohio, Texas, and Utah.
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?HUB@International.com?to request assistance. Kindly specify Job Requisition Number / Job Title and Location in response. Otherwise, your request may not be considered.