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Pytorch Developer Jobs in Birmingham, MI (NOW HIRING)

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 job categories do people searching Pytorch Developer jobs in Birmingham, MI look for? The top searched job categories for Pytorch Developer jobs in Birmingham, MI are:
What cities near Birmingham, MI are hiring for Pytorch Developer jobs? Cities near Birmingham, MI with the most Pytorch Developer job openings:
Infographic showing various Pytorch Developer job openings in Birmingham, MI as of June 2026, with employment types broken down into 83% Full Time, 6% Part Time, and 11% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.

$49.75 - $68.50/hr

Full-time

Posted 8 days ago


Job description

Role Name: Python with AI/ML
Location : Remote
Only W2
Only H1B-T, USC, H4 EAD
No C2C
Skill Requirement: Primary - Python with AI/ML (preferred), Snowflake (preferred)
Minimum 4+ years of hands-on experience.
Drive the design, development, and deployment of machine learning models and AI solutions to solve business problems.
Experience in building data pipelines, performing data wrangling, and feature engineering using Python (Pandas, NumPy, etc.).
Strong hands-on experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch.
Proficient in using JupyterHub for collaborative development and analysis.
Solid understanding of statistical methods, predictive modeling, classification, regression, clustering, etc.
Experience in deploying models in production using tools like Flask, Fast API, or MLflow is a plus.
Should have good knowledge of SQL and working with relational databases (e.g., PostgreSQL, MySQL, SQL Server, Teradata, Oracle, or Snowflake).
Hands-on experience with Power BI for building dashboards and presenting analytical insights.
Exposure to Cloud platforms (AWS, Azure, or GCP) for model training, data storage, and deployment is preferred.
Domain knowledge in Healthcare or Life Sciences would be an added advantage.
Agile Methodology.
Should possess advanced Analytical and statistical skills
May require occasional support for production ML pipelines or model monitoring.
Ability to troubleshoot and fix issues in ML code or data workflows.
Possess strong communication skills both written and verbal.