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Machine Learning Engineer Python Jobs in Michigan

Canopy

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director ... Expertise in Python with extensive experience in at least one deep learning framework (PyTorch or ...

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Machine Learning Engineer Python information

What is a machine learning engineer python?

A Machine Learning Engineer Python is a professional who uses the Python programming language to design, build, and deploy machine learning models and systems. They work with large datasets, develop algorithms, and use Python libraries such as TensorFlow, scikit-learn, and PyTorch to solve complex problems. Their responsibilities also include preprocessing data, training models, evaluating performance, and integrating solutions into production environments. Machine Learning Engineers often collaborate with data scientists, software engineers, and business stakeholders to create scalable and efficient machine learning applications.

What are the key skills and qualifications needed to thrive as a machine learning engineer python?

To thrive as a Machine Learning Engineer Python, you need a solid background in computer science, statistics, and mathematics, along with proficiency in Python programming and machine learning concepts. Familiarity with frameworks such as TensorFlow, PyTorch, Scikit-learn, and experience with cloud platforms or MLOps tools are highly valued, as are certifications like Google Professional Machine Learning Engineer. Strong problem-solving abilities, communication skills, and a collaborative mindset help set you apart in this field. These skills enable engineers to design, implement, and deploy effective machine learning solutions that address real-world challenges in dynamic, team-oriented environments.

What are some common challenges faced by machine learning engineers working with Python, and how can they be addressed?

Machine Learning Engineers using Python often encounter challenges such as managing large datasets, ensuring efficient model deployment, and maintaining reproducibility of experiments. Handling data pipelines and model versioning can be complex, especially as projects scale. To address these issues, engineers typically use tools like Pandas and Dask for data handling, Docker for containerization, and MLflow or DVC for tracking experiments and models. Collaborating closely with data engineers, software developers, and product teams is also essential to streamline workflows and ensure models are production-ready.

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

AspectMachine Learning Engineer PythonData Scientist
Required CredentialsBachelor's/Master's in CS, Data Science, or related; Python skills; ML certificationsBachelor's/Master's in Statistics, CS, or related; Python/R skills; Data analysis certifications
Work EnvironmentDevelops scalable ML models, deploys algorithms, collaborates with engineering teamsAnalyzes data, builds models, interprets results, communicates insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research institutions

While both roles require Python proficiency and data skills, Machine Learning Engineers focus on building and deploying scalable ML models, whereas Data Scientists analyze data and generate insights. The roles often overlap but differ in their primary focus and responsibilities.

What are popular job titles related to Machine Learning Engineer Python jobs in Michigan?

For Machine Learning Engineer Python jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Python jobs in Michigan look for?

The top searched job categories for Machine Learning Engineer Python jobs in Michigan are:

What cities in Michigan are hiring for Machine Learning Engineer Python jobs?

Cities in Michigan with the most Machine Learning Engineer Python job openings:

Machine Learning Engineer Python jobs near you
Infographic showing various Machine Learning Engineer Python job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 22% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Data / Machine Learning Engineer - RSA - US

Auburn Hills, MI

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

$108K - $130K/yr

Contractor

Posted 15 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