AI/ML Engineer

Hashlist; Auburn Hills (MI); On-site; USD 110,000 - 170,000; Full time

Job summary

Hashlist is seeking an AI/ML Engineer to join a forward-thinking software engineering organization within a major global automotive OEM. The role focuses on end-to-end AI/ML solutions, from design and development to validation and production handoff, collaborating with product teams and the MLOps function.

Location is Auburn Hills, Michigan. Responsibilities include designing ML models, building data pipelines, and delivering production-ready AI systems across data, modelling, and software

Qualifications

• Strong software engineering fundamentals.
• Practical experience deploying ML in production.
• Proficiency in Python and common ML libraries.
• Ability to bridge data, modelling and software concerns.
• Degree in engineering, computer science, or applied mathematics.

Responsibilities

• Design and implement ML models using structured, time-series, and unstructured data.
• Apply AI/ML techniques to engineering, quality, and product use cases.
• Build production-ready AI systems including data pipelines and inference services.
• Develop agentic solutions combining LLMs and other systems.
• Write clean, maintainable Python code and own tasks from design to deployment.

Skills

Software engineering

Production ML experience

Python

Data & software integration

Education

Degree in engineering/CS/applied math

Tools

Python

ML libraries (scikit-learn, TensorFlow)

Cloud platforms (AWS/Azure/GCP)

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

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 solutions
• Prepare 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