Senior AI/ML Engineer

Position Overview

The Senior AI/ML Engineer designs, develops, deploys, and operates production-grade artificial intelligence and machine learning solutions that deliver measurable business outcomes. This role combines machine learning expertise, software engineering discipline, and solution architecture to translate complex business needs into secure, scalable, supportable, and responsible AI capabilities.

The Senior AI/ML Engineer provides technical leadership throughout the solution lifecycle, including discovery, architecture, data preparation, model development, evaluation, deployment, monitoring, and continuous improvement. Working within a federated AI Center of Excellence (COE) model, this individual will partner with data engineering, analytics, product, architecture, cybersecurity, and business teams to develop and deliver business value through scalable AI and ML models.

Responsibilities

Model Development & Evaluation Design, build, validate, and deploy machine learning models for complex business use cases. Lead feature engineering, model selection, tuning, validation, and production-readiness assessments. Select the simplest effective approach based on business requirements, data availability, explainability, operational constraints, and measurable performance.

Define model acceptance criteria and implement reproducible offline and production evaluations. Assess model robustness, bias, explainability, limitations, and failure modes appropriate to the use case. AI Solution Delivery & ML Operations Own end-to-end delivery of AI/ML solutions from discovery and prototyping through production deployment and ongoing operation.

Implement model and data versioning, experiment tracking, reproducible pipelines, automated deployment, and rollback practices. Establish monitoring for data quality, data drift, model performance, reliability, latency, utilization, and cost. Define retraining, release, environment-promotion, and lifecycle-management approaches.

Provide production support, perform root-cause analysis, and drive corrective and preventive actions for operational issues. Generative AI Solution Engineering Design and operationalize generative AI solutions using fit-for-purpose techniques such as retrieval-augmented generation, prompt orchestration, tool integration, and structured output.

Implement appropriate guardrails, human oversight, content controls, and monitoring. Evaluate foundation models and AI platforms against business, security, architecture, and governance requirements and standards. Data & Analytics Engineering Alignment Work with large-scale structured and unstructured data to support AI/ML development and evaluation.

Define data requirements and partner with data engineering teams to improve data quality, availability, lineage, and observability. Develop AI/ML-specific data transformations and features while partnering with data engineers on shared, governed, production-grade pipelines. Contribute to curated data assets and integrate AI capabilities with enterprise analytics, business intelligence, and operational systems.

Governance, Standards & Responsible AI Ensure adherence to enterprise AI governance, security, and compliance standards Apply responsible AI practices, including documentation, explainability, and risk considerations Contribute to development and refinement of AI/ML best practices and reusable patterns Support model documentation and auditability requirements Business Partnership & Value Realization Partner with stakeholders to convert ambiguous business problems into testable hypotheses, technical requirements, and delivery plans.

Define technical and business success measures with product owners and business partners. Assess whether AI/ML is appropriate for a use case and recommend conventional analytics, rules-based, or software approaches when they offer a better solution. Estimate delivery complexity, dependencies, operational impact, and technical risk.

Technical Leadership & Collaboration Serve as technical lead for medium-to-large AI/ML initiatives and drive resolution of complex implementation issues. Mentor junior team members Review code, models, technical designs, and operational plans to improve quality and consistency. Minimum Requirements Bachelor's degree and at least 2 years of software engineer experience OR Master's degree and at least 1 year of software engineer experience OR At least 5 years of software engineer experience Additional Requirements 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 Master’s degree in a quantitative or technical field and 5 years of relevant experience working as either a Data Scientist , Data Engineering , Machine Learning Engineer, or AI engineer Experience with production AI/ML solution delivery At least 7 years of relevant professional experience, including demonstrated ownership of production AI/ML systems Demonstrated experience developing maintainable Python software and deploying AI/ML solutions into production environments Experience developing tested, maintainable Python applications and using common machine learning frameworks such as scikit-learn, Tensor.

Flow, or Py. Torch. Experience with model deployment, model serving, CI/CD, experiment tracking, versioning, monitoring, and retraining workflows. Experience with cloud-based AI/ML platforms, containerized deployments, APIs, distributed data processing, and enterprise data ecosystems. Experience designing or operating generative AI solutions, including retrieval-augmented generation and systematic evaluation.

Familiarity with enterprise architecture, cybersecurity, privacy, responsible AI, and model governance practices. Experience working across business, product, data, engineering, architecture, and risk teams in an enterprise environment.

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.

Company Overview About TRATON With its brands Scania, MAN, International, and Volkswagen Truck & Bus, TRATON SE is the parent and holding company of the TRATON GROUP 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 International From a one-man company built on the world-changing invention of the Mc.

Cormick 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 International® trucks and engines and IC Bus® school and commercial buses that are as tough and as smart as the people who drive them. We also develop Fleetrite® 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. Model Development & Evaluation Design, build, validate, and deploy machine learning models for complex business use cases. Lead feature engineering, model selection, tuning, validation, and production-readiness assessments.

Select the simplest effective approach based on business requirements, data availability, explainability, operational constraints, and measurable performance. Define model acceptance criteria and implement reproducible offline and production evaluations. Assess model robustness, bias, explainability, limitations, and failure modes appropriate to the use case.

AI Solution Delivery & ML Operations Own end-to-end delivery of AI/ML solutions from discovery and prototyping through production deployment and ongoing operation. Implement model and data versioning, experiment tracking, reproducible pipelines, automated deployment, and rollback practices. Establish monitoring for data quality, data drift, model performance, reliability, latency, utilization, and cost.

Define retraining, release, environment-promotion, and lifecycle-management approaches. Provide production support, perform root-cause analysis, and drive corrective and preventive actions for operational issues. Generative AI Solution Engineering Design and operationalize generative AI solutions using fit-for-purpose techniques such as retrieval-augmented generation, prompt orchestration, tool integration, and structured output.

Implement appropriate guardrails, human oversight, content controls, and monitoring. Evaluate foundation models and AI platforms against business, security, architecture, and governance requirements and standards. Data & Analytics Engineering Alignment Work with large-scale structured and unstructured data to support AI/ML development and evaluation.

Define data requirements and partner with data engineering teams to improve data quality, availability, lineage, and observability. Develop AI/ML-specific data transformations and features while partnering with data engineers on shared, governed, production-grade pipelines. Contribute to curated data assets and integrate AI capabilities with enterprise analytics, business intelligence, and operational systems.

Governance, Standards & Responsible AI Ensure adherence to enterprise AI governance, security, and compliance standards Apply responsible AI practices, including documentation, explainability, and risk considerations Contribute to development and refinement of AI/ML best practices and reusable patterns Support model documentation and auditability requirements Business Partnership & Value Realization Partner with stakeholders to convert ambiguous business problems into testable hypotheses, technical requirements, and delivery plans.

Define technical and business success measures with product owners and business partners. Assess whether AI/ML is appropriate for a use case and recommend conventional analytics, rules-based, or software approaches when they offer a better solution. Estimate delivery complexity, dependencies, operational impact, and technical risk.

Technical Leadership & Collaboration Serve as technical lead for medium-to-large AI/ML initiatives and drive resolution of complex implementation issues. Mentor junior team members Review code, models, technical designs, and operational plans to improve quality and consistency. Bachelor's degree and at least 2 years of software engineer experience OR Master's degree and at least 1 year of software engineer experience OR At least 5 years of software engineer experience