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Pytorch Developer Jobs in Sandy, UT (NOW HIRING)

BILL

Senior Machine Learning Engineer

Draper, UT

$97K - $134K/yr

Strong programming skills in Python and familiarity with ML frameworks such as TensorFlow , PyTorch , or scikit-learn * Previous experience with OCR extraction and NLP methodologies * Knowledge of AI ...

BILL

Senior Machine Learning Engineer

Draper, UT · On-site

$114K - $151K/yr

... TensorFlow, PyTorch, or scikit-learn • Previous experience with OCR extraction and NLP ... BILL is a developer of financial automation software for small and midsize businesses (SMBs)

Bespoke Labs

Machine Learning Engineer

West Jordan, UT · 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

Orem, UT · 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 ...

Autonomous Solutions

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100K - $132K/yr

Implement automation, CI/CD, DevOps, and MLOps practices to create efficient, repeatable, and ... TensorFlow, PyTorch, etc.). * Experience implementing CI/CD pipelines, MLOps practices, and ...

Autonomous Solutions

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100K - $132K/yr

Implement automation, CI/CD, DevOps, and MLOps practices to create efficient, repeatable, and ... TensorFlow, PyTorch, etc.). * Experience implementing CI/CD pipelines, MLOps practices, and ...

Smule

Internship - Research Engineer

Salt Lake City, UT · Remote

Strong proficiency in Python and experience with PyTorch, including custom modules, training loops, and distributed training (DDP, FSDP). * Solid understanding of software engineering best practices ...

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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 Sandy, UT? For Pytorch Developer jobs in Sandy, UT, the most frequently searched job titles are:
What job categories do people searching Pytorch Developer jobs in Sandy, UT look for? The top searched job categories for Pytorch Developer jobs in Sandy, UT are:
What cities near Sandy, UT are hiring for Pytorch Developer jobs? Cities near Sandy, UT with the most Pytorch Developer job openings:
Pytorch Developer jobs near you
AI Developer - Microsoft Azure & Full Stack Development

AI Developer - Microsoft Azure & Full Stack Development

Syntricate Technologies

Salt Lake City, UT • On-site

Other

Posted 4 days ago

Job description

Position: AI Developer - Microsoft Azure & Full Stack Development
Location: Newark/Milpitas/San Jose, CA - Sandy/Salt Lake, UT - Milpitas, CA - Overland Park, KS - Denver, CO or Any other nearby Altigen Office (Hybrid Onsite)
Duration: 12+ Months Contract
JOB DESCRIPTION:
We are seeking a highly skilled and hands-on AI Developer with strong experience in Microsoft Azure cloud services and full-stack application development. You will be responsible for designing, developing, and deploying AI-driven applications that integrate with cloud infrastructure and deliver seamless end-to-end solutions. This is a technical, cross-functional role that combines expertise in artificial intelligence, software engineering, and DevOps.
Key Responsibilities:
  • Design and implement scalable AI/ML solutions using Azure services (Azure ML, Cognitive Services, Azure Functions, etc.)
  • Develop and deploy end-to-end full-stack applications using modern frameworks (React, Angular, .NET Core, Node.js, etc.)
  • Integrate AI models into production systems with considerations for scalability, performance, and maintainability
  • Collaborate with data scientists, backend engineers, and DevOps teams to operationalize machine learning models
  • Automate training, testing, and deployment pipelines using Azure DevOps, CI/CD, and MLOps practices
  • Monitor and troubleshoot AI systems in production environments
  • Document architectural decisions, data flows, and system interfaces
  • Stay up-to-date with emerging trends in AI, machine learning, and cloud technologies

Required Skills and Qualifications:
  • Bachelor's or Master's in Computer Science, Engineering, or a related field
  • 3+ years of hands-on AI/ML development experience
  • Proficient with Azure cloud services (Azure ML, Data Factory, Blob Storage, Logic Apps, Azure Kubernetes Service)
  • Strong programming skills in Python and/or C#, with experience in TensorFlow, PyTorch, or scikit-learn
  • Full stack development expertise in both frontend (e.g., React, Angular) and backend (e.g., Node.js, .NET Core) frameworks
  • Solid understanding of REST APIs, GraphQL, and microservices architecture
  • Experience with DevOps tools (Azure DevOps, GitHub Actions, Docker, Kubernetes)
  • Familiarity with MLOps tools and concepts for model lifecycle management
  • Excellent problem-solving and communication skills

Preferred Qualifications:
  • Microsoft Certified: Azure AI Engineer Associate or Azure Developer Associate
  • Experience with LLMs and generative AI integration (e.g., OpenAI, Azure OpenAI Service)
  • Background in data engineering or business intelligence
  • Experience with Agile/Scrum methodologies

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