Senior AI/ML Engineer

Position Overview

The Senior AI/ML Engineer is responsible for designing, developing, and deploying scalable machine learning and AI solutions that deliver measurable business value. This role operates as a key contributor within the AI/ML function, translating business requirements into production-ready models and solutions while ensuring alignment with enterprise AI standards, architecture, and governance frameworks.

The Senior AI/ML Engineer collaborates closely with cross-functional teams across data engineering, analytics, and business domains to enable end-to-end AI solution delivery within a federated AI Center of Excellence (COE) model.

Responsibilities

Model Development & Optimization

• Design, build, and deploy machine learning models for complex business use cases
• Lead feature engineering, model selection, tuning, and validation processes
• Ensure models are scalable, reusable, and aligned to enterprise standards
• Apply advanced techniques (e.g., ensemble models, optimization strategies) where appropriate

AI Solution Delivery & Operationalization

• Own end-to-end delivery of AI/ML solutions from concept through production deployment
• Collaborate with data engineering teams to integrate models into production pipelines
• Implement and maintain model lifecycle management practices (deployment, monitoring, retraining)
• Ensure solutions meet performance, reliability, and scalability requirements

Data & Analytics Engineering Alignment

• Work with large-scale structured and unstructured data to support ML development
• Partner with data engineering teams to define data requirements and improve data quality
• Contribute to development of data pipelines and curated data assets for AI use cases
• Support integration with enterprise analytics and BI solutions

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

Cross-Functional Collaboration

• Partner with business stakeholders to translate use cases into technical solutions
• Collaborate with data scientists, analysts, and engineers across domains (e.g., Service, R&D, finance)
• Contribute to AI use case intake, evaluation, and prioritization processes
• Communicate technical findings and model outputs to both technical and non-technical audiences

Mentorship & Technical Leadership

• Provide guidance and mentorship to junior AI/ML engineers and data scientists
• Review code, models, and technical designs to ensure quality and consistency
• Promote adoption of best practices in model development and deployment
• Act as a technical SME within project teams

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
• Strong proficiency in Python and ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch)
• Experience with model deployment and MLOps practices
• Experience working with cloud-based AI/ML platforms and data ecosystems
• Familiarity with enterprise data architectures and distributed data processing
• Experience working in cross-functional and enterprise environments
• Independently delivers end-to-end AI/ML solutions that scale in production
• Consistently applies enterprise standards, governance, and best practices
• Effectively collaborates across business and technical teams
• Enables junior team members through mentorship and guidance
• Contributes reusable assets and patterns that accelerate AI delivery

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
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 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 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 View email address on click.appcast.io to request assistance. Kindly specify Job Requisition Number / Job Title and Location in response. Otherwise, your request may not be considered.

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

Model Development & Optimization

• Design, build, and deploy machine learning models for complex business use cases
• Lead feature engineering, model selection, tuning, and validation processes
• Ensure models are scalable, reusable, and aligned to enterprise standards
• Apply advanced techniques (e.g., ensemble models, optimization strategies) where appropriate

AI Solution Delivery & Operationalization

• Own end-to-end delivery of AI/ML solutions from concept through production deployment
• Collaborate with data engineering teams to integrate models into production pipelines
• Implement and maintain model lifecycle management practices (deployment, monitoring, retraining)
• Ensure solutions meet performance, reliability, and scalability requirements

Data & Analytics Engineering Alignment

• Work with large-scale structured and unstructured data to support ML development
• Partner with data engineering teams to define data requirements and improve data quality
• Contribute to development of data pipelines and curated data assets for AI use cases
• Support integration with enterprise analytics and BI solutions

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

Cross-Functional Collaboration

• Partner with business stakeholders to translate use cases into technical solutions
• Collaborate with data scientists, analysts, and engineers across domains (e.g., Service, R&D, finance)
• Contribute to AI use case intake, evaluation, and prioritization processes
• Communicate technical findings and model outputs to both technical and non-technical audiences

Mentorship & Technical Leadership

• Provide guidance and mentorship to junior AI/ML engineers and data scientists
• Review code, models, and technical designs to ensure quality and consistency
• Promote adoption of best practices in model development and deployment
• Act as a technical SME within project teams