AI/ML Engineer

Hashlist; Auburn Hills (MI); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Competitive package

High-impact role

Job summary

Hashlist is seeking an AI/ML Engineer to join their team in Auburn Hills, Michigan. The ideal candidate will possess strong software engineering fundamentals and practical experience in applying machine learning. Responsibilities include designing and implementing ML models, building production-ready AI systems, and working closely with product teams. This permanent or freelance position offers a competitive package within a high-impact software-defined vehicle programme.

Qualifications

• Strong software engineering fundamentals required.
• Practical experience in real production systems essential.
• Proficiency in Python and common ML libraries necessary.

Responsibilities

• Design and implement ML models using various data types.
• Build production-ready AI systems including data pipelines.
• Contribute to reusable AI/ML components and frameworks.

Skills

Software engineering fundamentals

Machine learning application

Python proficiency

Data handling

MLOps familiarity

Education

Degree in engineering, computer science, applied mathematics, or related field

Tools

Common ML libraries

Cloud-based data or ML platforms

Job description

We're looking for an AI/ML Engineer to join a forward-thinking Software Engineering organisation within a major global automotive OEM.

The role is engineering-first — designing, building, and delivering end-to-end AI/ML solutions that solve real engineering and product problems. Engineers in this role contribute across the full lifecycle, from design and development through validation and production handoff, working closely with product teams and the MLOps function.

• Location: Auburn Hills
• Contract type: Permanent or freelance
• Benefits: Competitive package; high-impact, high-visibility role within a major software-defined vehicle programme

Responsibilities

• Design and implement ML models using structured, time-series, and unstructured data
• Apply AI/ML techniques pragmatically to engineering, quality, and product use cases
• Build production-ready AI systems including data pipelines, feature engineering, model training and inference services, and integration with downstream systems
• Develop agentic solutions combining LLMs and other systems
• Contribute to reusable AI/ML components and shared engineering frameworks
• Write clean, maintainable, and testable Python code
• Own implementation tasks from design through deployment readiness
• Work closely with stakeholders to clarify requirements and iterate solutionsPrepare solutions for operationalisation in partnership with MLOps teams
• Develop lightweight front-end components or internal tools — dashboards, experimentation interfaces, or demonstration tools — where required

Qualifications

• Strong software engineering fundamentals
• Practical experience applying machine learning in real production systems
• Proficiency in Python and common ML libraries
• Ability to work across data, modelling, and software concerns
• Degree in engineering, computer science, applied mathematics, or a related field
• Experience with cloud-based data or ML platforms is a plus
• Experience building agentic solutions is advantageous
• Familiarity with MLOps concepts — CI/CD for ML, monitoring, retraining — is beneficial
• Frontend or full-stack experience supporting AI tools is a plus
• Background in regulated or industrial engineering environments is advantageous

Next Steps

• Click Apply
• We will review your application. If qualified, you'll be accepted into the Hashlist network and considered for this and other relevant projects