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

Megan soft Inc

Senior AI/ML Engineer

Dearborn Heights, MI · On-site

$96K - $132K/yr

Role: Senior AI/ML Engineer (W2 Position) Location: Dearborn, MI (Hybrid) Duration: 12+ Months ... Strong proficiency in Python and SQL. Familiarity with Graph Query Languages (e.g., Cypher)

May Mobility

Senior ML Engineer - Mapping

Ann Arbor, MI · On-site

$102K - $140K/yr

Strong programming skills in Python and/or C++ with experience in modular software design and Linux ... Expertise in ML optimization for real-time products with limited compute, such as quantization and ...

May Mobility

Senior ML Engineer - Mapping

Ann Arbor, MI

$102K - $140K/yr

Strong programming skills in Python and/or C++ with experience in modular software design and Linux ... Expertise in ML optimization for real-time products with limited compute, such as quantization and ...

EPSoft Technologies

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 ... Skills Preferred: • Experience working with Google Cloud platform. • Experience with Python and ...

General Motors

Senior ML Compiler Engineer

Warren, MI

$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 ...

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All JobsPython Ml Developer JobsPython Ml Developer Jobs in Detroit, MI

Python Ml Developer information

See Detroit, MI salary details

$13

$58

$85

How much do python ml developer jobs pay per hour?

As of Jul 30, 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 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.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI and machine learning systems. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and interpreting complex models, making complete replacement unlikely in the near term. MLEs need skills in programming, data analysis, and model deployment to adapt to evolving AI technologies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. Such roles usually involve leadership, strategic planning, and extensive experience in the field.

Which 3 jobs will survive AI?

For a Python ML Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as AI research scientist, data scientist, and software engineer. These jobs involve designing, interpreting, and improving AI models, which currently require advanced expertise, critical thinking, and domain knowledge that AI cannot fully replicate. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience.

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

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 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.

Can you do ML in Python?

Yes, Python is widely used for machine learning (ML) development due to its extensive libraries such as TensorFlow, scikit-learn, and PyTorch. Python skills are essential for a Python ML developer to build, train, and deploy ML models efficiently in various environments.
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:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Detroit, MI as of July 2026, with employment types broken down into 81% Full Time, 6% Part Time, 1% Temporary, 11% Contract, and 1% Nights. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $120,709 per year, or $58 per hour.

GEN AI and Agentic AI developer- Senior

Spruce Infotech

Dearborn, MI • On-site

$50.50 - $66.75/hr

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

Build and operationalize enterprise grade LLM and agentic AI solutions aligned with the Client PD EAT standard, delivering scalable, measurable, and compliant AI services.
Key Responsibilities
• Develop and productionize LLM, RAG, and multi agent solutions using approved client patterns
• Define evaluation metrics (quality, latency, cost, adoption) and publish KPI dashboards
• Enable data grounding pipelines in collaboration with data engineers
• Support interoperability across applications (MCP) and enterprise APIs
• Ensure security, compliance, and production readiness
Key Skills
• Python, ML/NLP, LLMs, embeddings, RAG, evaluations
• Experience with multi agent frameworks and cloud deployments preferred

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