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Pytorch Developer Jobs in Detroit, MI (NOW HIRING)

Azure Developer Location: Georgia, Texas, Kansas Duration: 3+ Months Job Type: Temporary Assignment ... Integrate AI/ML models using frameworks like TensorFlow, PyTorch, Scikit learn, or Azure ML.

Senior Robotics Data Engineer - Only W2

Warren, MI · On-site

$99K - $135K/yr

Senior Robotics Data Engineer (ML/AI systems, Python, TensorFlow and/or PyTorch, Power BI, Azure data services) Key Responsibilities: · Design and implement scalable data pipelines for large-scale ...

Scikit-learn, TensorFlow, PyTorch MLOps: MLflow, Airflow, CI/CD, model deployment & monitoring ... Strong programming experience in Python, including backend development, API design, automation, and ...

Machine Learning Engineer 3

Dearborn, MI · On-site

$105K - $126K/yr

Experience with machine learning frameworks such as Scikit-learn, TensorFlow, and/or PyTorch. Practical experience developing applications using Large Language Models (LLMs), prompt engineering, and ...

AI Engineer

Dearborn, MI · On-site +1

$105K - $126K/yr

As an AI Engineer, you should have a strong technical background and demonstrate experience in Data ... Proficiency in building and training models using frameworks such as TensorFlow, PyTorch, or Scikit ...

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 ...

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 ...

Agentic AI Engineer We are seeking a highly skilled Agentic AI Engineer to support advanced R&D ... Proficiency in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow) * Experience with ...

Agentic AI Engineer We are seeking a highly skilled Agentic AI Engineer to support advanced R&D ... Proficiency in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow) * Experience with ...

Experience building responsive web applications with React or similar modern frameworks. * DevOps ... Familiarity with ML frameworks like PyTorch or TensorFlow . * Knowledge of industrial protocols ...

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Pytorch Developer information

What is a PyTorch Developer?

A PyTorch Developer is a software engineer or data scientist who specializes in using PyTorch, an open-source machine learning library, to build and deploy deep learning models. Their responsibilities typically include designing neural network architectures, training and evaluating models, and optimizing code for performance. PyTorch Developers work in fields such as artificial intelligence, computer vision, and natural language processing, collaborating with teams to solve complex problems using machine learning. They are proficient in Python and have a strong understanding of deep learning concepts. Additionally, they often contribute to research, development, and the deployment of AI solutions in production environments.

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

To thrive as a Pytorch Developer, you need strong programming skills in Python, a solid grasp of machine learning concepts, and experience with deep learning frameworks—especially PyTorch itself. Familiarity with tools like CUDA, Jupyter Notebooks, and version control systems (e.g., Git) is typically expected, along with knowledge of cloud platforms or relevant certifications. Problem-solving ability, effective collaboration, and clear communication are crucial soft skills for success in this role. These skills and qualities are vital for efficiently building, optimizing, and deploying machine learning models in real-world applications.

What is the difference between Pytorch Developer vs Machine Learning Engineer?

AspectPytorch DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, experience with PyTorchBachelor's or higher in CS, data science, or related field, with ML experience
Work EnvironmentResearch labs, AI startups, tech companies focusing on deep learningTech companies, finance, healthcare, often involving deployment and scaling ML models
Industry UsagePrimarily in AI research and development teamsAcross industries implementing ML solutions in production

While both roles require knowledge of machine learning and experience with PyTorch, a Pytorch Developer mainly focuses on developing and optimizing deep learning models using PyTorch. A Machine Learning Engineer often has a broader scope, including deploying, maintaining, and scaling ML models across various platforms and industries.

What are some common challenges Pytorch Developers face when deploying machine learning models to production environments?

Pytorch Developers often encounter challenges when transitioning models from research to production, such as optimizing model performance for inference speed and memory usage, ensuring compatibility with deployment frameworks like TorchScript or ONNX, and managing dependencies across different systems. Additionally, integrating PyTorch models into existing software stacks and maintaining reproducibility can be complex. Collaborating closely with DevOps and data engineering teams is crucial to address these issues and ensure smooth deployment.
What cities near Detroit, MI are hiring for Pytorch Developer jobs? Cities near Detroit, MI with the most Pytorch Developer job openings:
Infographic showing various Pytorch Developer job openings in Detroit, MI as of June 2026, with employment types broken down into 82% Full Time, 7% Part Time, and 11% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.
Azure Developer

Azure Developer

MindSource

Ann Arbor, MI • On-site

$62/hr

Other

Posted 20 days ago


Job description

Job Code: JPC - 47345
Position: Azure Developer
Location: Georgia, Texas, Kansas
Duration: 3+ Months
Job Type: Temporary Assignment
Work Type: Hybrid
Client: UST Global
Pay rate: $62/hr on W2
Job Description
Mandatory Skills:
  • AZURE AI, AI/ML, AZURE
Role Summary:
  • Leads architecture and implementation of AI/ML applications on cloud platforms with a strong focus on Azure, containerization, microservices, and scalable data pipelines.
Key Responsibilities:
  • Design and build cloud-native applications using Azure, AWS, or GCP.
  • Integrate AI/ML models using frameworks like TensorFlow, PyTorch, Scikit learn, or Azure ML.
  • Build and manage data pipelines using Azure Data Factory, Databricks, and Apache Spark.
  • Containerize applications (Docker) and deploy on Kubernetes.
  • Develop APIs and microservices supporting AI-enabled features.
  • Mentor peers, contribute to architectural design, and document solutions.
Qualifications:
  • Bachelor's degree required.
  • 4-7+ years of experience in technical engineering.
  • Strong experience building and deploying systems on cloud platforms.
  • Skills in AI/ML integration, backend development, data pipelines, and full-stack architecture

Mindsource logo

About Mindsource

Sourced by ZipRecruiter

Beginning with a 100 square foot office in Mountain View, Dave Clark and his entrepreneurial partners built a thriving business in four months with their unique technical knowledge and high-touch approach. Our management team immersed themselves in the intricacies of the most technically challenging and sophisticated technical endeavors, requiring the best and brightest minds. Two decades later, we have used our technical savvy to grow our consultancy and to provide top-tier talent in the areas of mobile development, front-end development, and quality assurance. We provide our consultants with engineering job opportunities, QA analyst jobs, IT job opportunities, and many other rewarding careers with Silicon Valley’s top employers. At every step, we made good on our promise to deliver satisfaction, and because of this emerged as the leader in our field. The MindSource staff is a close-knit family of employees; many have been with the company for over a decade. We are motivated by generating and maintaining long-term relationships with both colleagues and clients as we have done for over 20 years. We value working with the best, and continue to do so, over and over again.

Company size

51 - 200 Employees

Headquarters location

Mountain View, CA, US

Year founded

1994

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