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Pytorch Developer Jobs in Saint Paul, MN (NOW HIRING)

Centraprise

ML Engineer

Minneapolis, MN · On-site

... PyTorch). * Experience with containers and orchestration (Docker/Kubernetes) and API development. * Understanding of ML system design (data leakage, training-serving skew, drift). * CI/CD and DevOps ...

SAP

Senior Developer

Minneapolis, MN · On-site

$145K - $216K/yr

Senior Developer Location: Minneapolis, MN Work Model: Hybrid Work Model Purpose and Objective ... MLOps and Machine learning rule based models using Pytorch or Tensorflow; and * Utilizing deep ...

VivaQuant, Inc.

AI Engineer

Saint Paul, MN · On-site

$110K - $130K/yr

... PyTorch/TensorFlow), data structures, algorithms, object-oriented programming, and Generative AI ... knowledge lookup tools is a plus. We are a leading provider of remote cardiac monitoring services ...

Digital Links Inc

AI/ML Engineer

Minneapolis, MN · On-site

Must-Have Skills (Non-Negotiable) 1. Core AI/ML Engineering Strong proficiency in Python (NumPy, Pandas, PyTorch/TensorFlow) Experience building and deploying end-to-end ML/AI systems Ability to take ...

Staxa Technologies

AI engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Deep hands-on experience with PyTorch or TensorFlow. * GenAI / LLM Stack : Proven experience with ... Data Engineering : Strong competency in SQL and experience handling large datasets using tools like ...

Tata Consultancy Services

AI Engineer

Minneapolis, MN · On-site

... Engineer to design and develop AI/ML and Generative AI solutions. The role involves building ... PyTorch, LangChain, LlamaIndex, or similar • Experience deploying solutions on cloud platforms ...

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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 are popular job titles related to Pytorch Developer jobs in Saint Paul, MN? For Pytorch Developer jobs in Saint Paul, MN, the most frequently searched job titles are:
What job categories do people searching Pytorch Developer jobs in Saint Paul, MN look for? The top searched job categories for Pytorch Developer jobs in Saint Paul, MN are:
What cities near Saint Paul, MN are hiring for Pytorch Developer jobs? Cities near Saint Paul, MN with the most Pytorch Developer job openings:
Pytorch Developer jobs near you
Infographic showing various Pytorch Developer job openings in Saint Paul, MN as of July 2026, with employment types broken down into 84% Full Time, 5% Part Time, 1% Temporary, and 10% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.
AI Software Developer

AI Software Developer

Noblesoft Technologies

Minneapolis, MN • Remote

Contractor

Re-posted 15 hours ago

Job description

Job Title: AI Software Developer
Location: Minneapolis, MN(Remote)
Job Description:    
As a AI Software Developer, you will design and implement advanced AI/ML solutions that transform healthcare technology. You’ll work on cutting-edge projects involving generative AI, NLP, and predictive analytics, collaborating with cross-functional teams to deliver scalable, secure, and innovative software. 
Must Have:
Proficiency in Python and AI frameworks (TensorFlow, PyTorch). 
Experience with cloud platforms (Azure). 
Knowledge of LLMs, RAG systems, and generative AI. 
Strong problem-solving and communication skills.
Key Responsibilities: 
Develop and deploy AI/ML models for enterprise applications. 
Implement reusable frameworks and libraries.
Collaborate with data scientists and product teams to align AI solutions with business goals. 
Optimize algorithms for performance and compliance. 
Participate in Agile ceremonies and ensure timely delivery