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Pytorch Developer Jobs in Detroit, MI (NOW HIRING)

Advantasure, Inc.

Technical Lead I-AI Engineer

Detroit, MI · On-site

$101K - $133K/yr

Familiarity with Git, CI/CD pipelines, and DevOps for automation AI & ML Expertise: * Design and build custom ML models (Python, TensorFlow, PyTorch, Scikit-Learn) to solve business-specific problems.

EPSoft Technologies

AI engineer

Dearborn, MI · On-site

$89K - $122K/yr

Experience with Python and have used Machine Learning algorithms (pytorch, NLP etc) . * Experience ... Development, DevOps etc. * Experience in creating an API service with Fast API / Flask.

Optimal Inc.

Agentic AI Engineer

Warren, MI · On-site

Agentic AI EngineerWe are seeking a highly skilled Agentic AI Engineer to support advanced R&D ... PyTorch, TensorFlow)Experience with tools and ecosystems such as vector databases, APIs, and ...

A123 Systems Corp.

Battery Modeling Engineer

Novi, MI · On-site

A123 Systems, LLC is a leading developer and manufacturer of advanced lithium-ion battery ... Experience with ML libraries, i.e., Tensor Flow, PyTorch, etc. * Experience in Li-ion battery ...

A123 Systems LLC

Battery Modeling Engineer

Novi, MI · Hybrid

A123 Systems, LLC is a leading developer and manufacturer of advanced lithium-ion battery ... Experience with ML libraries, i.e., Tensor Flow, PyTorch, etc. * Experience in Li-ion battery ...

Bespoke Labs

Machine Learning Engineer

Detroit, MI · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Warren, MI

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Warren, MI · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Detroit, MI

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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All JobsPytorch Developer JobsPytorch Developer Jobs in Detroit, MI

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 are popular job titles related to Pytorch Developer jobs in Detroit, MI? For Pytorch Developer jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Pytorch Developer jobs in Detroit, MI look for? The top searched job categories for Pytorch Developer jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Pytorch Developer jobs? Cities near Detroit, MI with the most Pytorch Developer job openings:
Pytorch Developer jobs near you
Infographic showing various Pytorch Developer job openings in Detroit, MI as of August 2026, with employment types broken down into 79% Full Time, 3% Part Time, and 18% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.

Engineering Assistant- AI Based Solutions

FEV North America Inc

Auburn Hills, MI • On-site

Full-time

Posted 22 days ago

Job description

Description:
  • Develop and deploy AI-based solutions to automate engineering and business workflows, improving efficiency, decision-making, and productivity
  • Identify opportunities to replace manual or rule-based processes with intelligent AI-driven workflows and agents
  • Design, develop, and integrate machine learning (ML), reinforcement learning (RL), and generative AI models for engineering applications
  • Replace conventional rule-based control algorithms and physics-based functions with data-driven ML/RL models where appropriate
  • Develop data pipelines for collection, cleaning, feature engineering, training, validation, and deployment of AI models
  • Train, optimize, and validate ML/RL models using simulation, test, and field data
  • Collaborate with controls, software, systems, and domain experts to integrate AI models into production systems
  • Support development of digital twins, predictive analytics, anomaly detection, optimization, and intelligent decision-making systems
  • Monitor model performance, perform retraining activities, and ensure robustness and scalability of deployed solutions
  • Prepare technical reports, documentation, presentations, and demonstrations for internal and customer stakeholders
  • Stay current with emerging AI technologies, frameworks, and best practices and evaluate their applicability to engineering challenges

Requirements:
  • Working towards Bachelor’s or master’s degree in computer science, Electrical Engineering, Mechanical Engineering, Robotics, Data Science, Artificial Intelligence, or a related field
  • Understanding of Machine Learning, Deep Learning, Reinforcement Learning, and Generative AI concepts
  • Proficiency in Python and common AI/ML frameworks such as TensorFlow, PyTorch, and RL libraries
  • Experience with software development tools, version control systems, and CI/CD processes
  • Experience with data processing, feature extraction, model training, validation, and deployment workflows

Preferred Qualifications:

  • Knowledge of optimization techniques, control systems, and system modeling concepts
  • Familiarity with cloud-based AI platforms and MLOps practices is preferred
  • Strong analytical and problem-solving skills with the ability to work on complex engineering challenges
  • Professional communication skills (oral and written) and ability to present technical concepts to diverse audiences

Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities