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Artificial Intelligence Machine Learning Engineer Jobs in Detroit, MI

Bespoke Labs

Machine Learning Engineer

Detroit, MI

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Bespoke Labs

Machine Learning Engineer

Detroit, MI · On-site

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Guardian Alarm

Director, Data Strategy

Southfield, MI · On-site

$200 - $250/hr

... artificial intelligence, machine learning, and emerging business needs. This role also plays a ... AI Cost controls and cost projections Data Architecture, Engineering & Platform Leadership

Guardian-Alarm

Director, Data Strategy

Southfield, MI · On-site

$200 - $250/hr

... artificial intelligence, machine learning, and emerging business needs. This role also plays a ... AI Cost controls and cost projections Data Architecture, Engineering & Platform Leadership

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All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in Detroit, MI

Artificial Intelligence Machine Learning Engineer information

See Detroit, MI salary details

$31.1K

$127.2K

$191.2K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for artificial intelligence machine learning engineer in Detroit, MI is $127,238.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,300.00 and $153,200.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Detroit, MI?

For Artificial Intelligence Machine Learning Engineer jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Detroit, MI look for?

The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities near Detroit, MI with the most Artificial Intelligence Machine Learning Engineer job openings:

Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Detroit, MI as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 76% Full Time, 21% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $127,238 per year, or $61.2 per hour.

Data / Machine Learning Engineer - RSA - US

Auburn Hills, MI • On-site

synergycom
IT Services • 201 - 500 employees
Learn more about synergycomexternal

$108K - $130K/yr

Contractor

Posted 13 days ago

Job description

Data / Machine Learning Engineer - Application & Mainframe Modernization

Hybrid Auburn Hills, MI

Contract Role

Position Overview
We are seeking a hands-on Data / Machine Learning Engineer to support an
application and mainframe modernization initiative.
This resource will focus on developing AI/data engineering capabilities
to support the modernization effort and will work closely with a
dedicated Mainframe SME who will provide the legacy application and
mainframe expertise.
The ideal candidate will have strong hands-on experience with Python,
embeddings, vector databases, and RAG pipelines.
Key Responsibilities
- Design, develop, and support RAG (Retrieval-Augmented Generation)
pipelines for the application modernization initiative.
- Develop Python-based solutions and data/ML workflows.
- Create and work with embeddings to support retrieval and AI-driven
application use cases.
- Implement and work with vector databases to store, retrieve, and
manage embedded data.
- Build and maintain the data pipelines necessary to support RAG and
AI/ML workflows.
- Partner closely with the Mainframe SME to incorporate legacy
application knowledge and context into the modernization process.
- Work collaboratively with application and engineering teams
throughout the modernization effort.
- Test, troubleshoot, refine, and improve AI/data engineering
workflows and outputs.
- Support the development of scalable and repeatable approaches that
can be applied across the modernization initiative.

Required Qualifications
- Strong hands-on Python development experience.
- Hands-on experience building and supporting RAG pipelines.
- Experience creating and working with embeddings.
- Hands-on experience with vector databases.
- Data Engineering and/or Machine Learning Engineering experience.
- Experience developing data pipelines and integrating data across
systems.
- Strong analytical and troubleshooting skills.
- Ability to work collaboratively with technical SMEs and engineering
teams.

Preferred Qualifications
- Experience working on enterprise-scale technology initiatives.
- Experience working within complex application environments.
- Exposure to application modernization initiatives is beneficial.
Important Note
Mainframe/COBOL expertise is not required for this position. The Data/ML
Engineer will work alongside a dedicated Mainframe SME who will provide
the mainframe and legacy application expertise.
Core Skills
Python | Embeddings | Vector Databases | RAG Pipelines | Data/ML
Engineering