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

Build integrations between 3DX data and AI/ML tools (Python, Qliksense, Alteryx, LLMs) for ... Programming: EKL, MQL, Java (server-side for 3DSpace/ENOVIA). * Web & API: JavaScript, REST/SOAP ...

... developer or data workflows. Candidate should understand model lifecycle management, prompt engineering, and responsible AI practicesProficiency in Python and ML development tooling including Hugging ...

Build integrations between 3DX data and AI/ML tools (Python, Qliksense, Alteryx, LLMs) for ... Programming: EKL, MQL, Java (server-side for 3DSpace/ENOVIA). * Web & API: JavaScript, REST/SOAP ...

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 Engineer

Dearborn, MI · On-site

$105K - $126K/yr

As the AI Engineer, you should have a strong technical background and demonstrated experience in ... AI/ML, data science software (e.g., Python-based tools) MUST HAVE experience using Gen AI ...

If you are passionate about AI/ML, complex systems, embedded software, and solving real-world ... Python & Automation Mastery: 1+ years of experience writing 2,000+ lines of clean, PEP8 compliant ...

Strong proficiency in Python and SQL (2+ years) * ML Frameworks: Experience with XGBoost ... MLOps & DevOps: Familiarity with CI/CD, ML lifecycle management * API Development: Experience with ...

Comscore, Total Visits, March 2025) Day to Day As a Software Engineer IV (ML) on the Machine ... Expertise in Python and modern ML frameworks like PyTorch & Triton. * Experience with AWS SageMaker ...

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Python Ml Developer information

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$13

$58

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How much do python ml developer jobs pay per hour?

As of Jun 19, 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.

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.

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:
3DX Developer

3DX Developer

Megan soft Inc

Dearborn, MI • On-site

Other

Posted 21 days ago

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Job description

Role:  3DX Developer
Location: Dearborn, MI – Onsite (4 days in office)
 Duration: 12 Months
Client: FORD MOTORS
 
Job Description:
 
  • Develop and customize 3DX solutions in ENOVIA for automotive PLM, BOM, configuration, and change management.
  • Lead code-based migration of existing Java BOM functionalities to 3DX, including data transformation and API development.
  • Write and maintain scripts, customizations, and integrations using EKL, MQL, Java, JavaScript, and Web Services/APIs.
  • Collaborate with Design, Engineering, Manufacturing, and Supply Chain teams to implement effective 3DX solutions.
  • Develop unit and integration tests for 3DX customizations and integrations.
  • Troubleshoot and debug issues in deployment and production environments.
  • Participate actively in Agile ceremonies (Backlog Refinement, Stand-ups, etc.).
  • Provide rotational support for the 3DX application.
  • Optional: Build integrations between 3DX data and AI/ML tools (Python, Qliksense, Alteryx, LLMs) for analytics and automation.
 
Required Skills:
 
  • 3DX Development: Hands-on experience with ENOVIA (V6/3DEXPERIENCE), BOM, variant, configuration, and change management.
  • Programming: EKL, MQL, Java (server-side for 3DSpace/ENOVIA).
  • Web & API: JavaScript, REST/SOAP, and API integrations.
  • CAD Integration: Experience with CATIA V5/V6 within 3DEXPERIENCE.
  • Database Skills: Strong SQL skills for PLM data.
  • Version Control & Agile: GitHub (or similar), Scrum/Kanban experience.
  • PLM Knowledge: Understanding of automotive PLM concepts and data structures.

  Preferred Skills:
 
  • Large-scale PLM migration experience.
  • Cloud deployments on 3DEXPERIENCE (GCP).
  • CI/CD pipelines for 3DX code (Tekton).
  • Python for scripting, data processing, or AI/ML.
  • Familiarity with AI/ML/LLMs in engineering or PLM.
  • Monitoring tools: Splunk, Dynatrace.
  • Integration experience with SAP, DELMIA, or SIMULIA in automotive.