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Python Ml Developer Jobs in Detroit, MI (NOW HIRING)

AI engineer

Dearborn, MI · On-site

$89K - $122K/yr

The team you will be working on supports ML Practitioners and Data Scientists in their Mach1ML ... Experience with Python and have used Machine Learning algorithms (pytorch, NLP etc) . * Experience ...

Senior ML Compiler Engineer

Warren, MI · On-site

$98K - $134K/yr

... ML engineers across the AV organizationto compile their models. You willwork on an evolvinga state ... Expertisein writing production quality Python/C++ code * Expertisein the software development life ...

GCP Engineer Location: Dearborn, MI (On-site/Hybrid) Rate: Market Duration: Long term * Cloud ... GCP using Python and other tools for business across the company. * Work with software and ML ...

AI Data Engineer

Detroit, MI · On-site

$113K - $136K/yr

Fluency in programming languages such as Python and SQL, and familiarity with others like Java or Scala. * Frameworks: Hands-on experience with ML frameworks like TensorFlow, PyTorch, and Scikit ...

Sr. Software Engineer - AI/ML

Ann Arbor, MI · Hybrid

$119K - $158K/yr

Proficiency in Python, or similar languages, with experience in libraries like TensorFlow, Scikit ... Strong understanding of cloud platforms, DevOps practices, and data processing technologies.

Sr. Software Engineer - AI/ML

Ann Arbor, MI · Hybrid

$119K - $158K/yr

Proficiency in Python, or similar languages, with experience in libraries like TensorFlow, Scikit ... Strong understanding of cloud platforms, DevOps practices, and data processing technologies.

Sr. Software Engineer - AI/ML

Ann Arbor, MI · On-site

$119K - $158K/yr

Proficiency in Python, or similar languages, with experience in libraries like TensorFlow, Scikit ... Strong understanding of cloud platforms, DevOps practices, and data processing technologies.

Sr. Software Engineer - AI/ML

Ann Arbor, MI · On-site

$119K - $158K/yr

Proficiency in Python, or similar languages, with experience in libraries like TensorFlow, Scikit ... Strong understanding of cloud platforms, DevOps practices, and data processing technologies.

Showing results 21-40

Python Ml Developer information

See Detroit, MI salary details

$13

$58

$85

How much do python ml developer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for python ml developer in Detroit, MI is $58.03, according to ZipRecruiter salary data. Most workers in this role earn between $47.84 and $65.91 per hour, depending on experience, location, and employer.

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What are the key skills and qualifications needed to thrive as a Python ML Developer?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

What are popular job titles related to Python Ml Developer jobs in Detroit, MI?

For Python Ml Developer jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Python Ml Developer jobs in Detroit, MI look for?

The top searched job categories for Python Ml Developer jobs in Detroit, MI are:

Infographic showing various Python Ml Developer job openings in Detroit, MI as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 10% Part Time, and 4% Contract. Highlights an 75% Physical, 6% Hybrid, and 19% Remote job distribution, with an average salary of $120,709 per year, or $58 per hour.

Data / Machine Learning Engineer - RSA - US

Auburn Hills, MI • On-site

synergycom
IT Services • 201 - 500 employees

$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