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Pytorch Developer Jobs in Orem, UT (NOW HIRING)

Proficiency in programming and data science tools: * Languages: Python, R, or Java * Libraries/Frameworks: NumPy, Scikit-learn, PyTorch, TensorFlow * Visualization: Matplotlib, Seaborn, GGPlot ...

Proficiency in programming and data science tools: * Languages: Python, R, or Java * Libraries/Frameworks: NumPy, Scikit-learn, PyTorch, TensorFlow * Visualization: Matplotlib, Seaborn, GGPlot ...

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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 Orem, UT are hiring for Pytorch Developer jobs? Cities near Orem, UT with the most Pytorch Developer job openings:

Applied AI Scientist

Enterprise Services

Midvale, UT • Hybrid

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


Job description

Zions Bancorporation's Enterprise Technology and Operations (ETO) team is transforming what it means to work for a financial institution. With a commitment to technology and innovation, we have been providing our community, clients and colleagues the best experience possible for over 150 years. Help us transform our workforce of the future, today.

As an Applied AI Scientist, you will collaborate with the Enterprise Data Analytics team to analyze and model customer data, learn banking processes, and transform data into actionable insights. You will work alongside other experienced Applied AI Scientists to design and prototype solutions that leverage advanced analytics and AI techniques.

Responsibilities:

  • Understand business and data requirements
  • Discover, clean, and transform data for analysis
  • Design and build analytical and machine learning models
  • Prototype and validate solutions
  • Perform statistical analyses and interpret results
  • Deliver diagnostic, descriptive, prescriptive, and predictive analytics
  • Explore opportunities for machine learning, deep learning, and generative AI in predictive modeling, automation, and model training
  • Communicate findings effectively across multiple levels of management
  • Other duties as assigned

Qualifications:

  • Bachelors degree in Computer Science, Engineering, Statistics, Data Science or related field plus 6+ years of related experience. Masters degree is a plus.
  • Strong quantitative background with applied statistics skills (distributions, hypothesis testing, regression, etc.)
  • Familiarity with predictive modeling, machine learning, generative AI, and data mining techniques
  • Proficiency in programming and data science tools: 
  • Languages: Python, R, or Java
  • Libraries/Frameworks: NumPy, Scikit-learn, PyTorch, TensorFlow
  • Visualization: Matplotlib, Seaborn, GGPlot, Tableau, Power BI
  • Experience with SQL; exposure to Hadoop, Hive, or Spark is a plus
  • Knowledge of ETL workflows and scheduling tools is a plus
  • Strong analytical, organizational, and problem-solving skills
  • Excellent communication and presentation skills
  • Ability to collaborate across teams and work independently
  • Banking or financial services experience is a plus
  • Familiarity with formal project management methodologies preferred

Location:

This position has a hybrid work from home schedule with a minimum of three days per week in the office at the new Zions Technology Center in Midvale, UT.

The Zions Technology Center is a 400,000-square-foot technology campus in Midvale, Utah. Located on the former Sharon Steel Mill superfund site, the sustainably built campus is the company's primary technology and operations center. This modern and environmentally friendly technology center enables Zions to compete for the best technology talent in the state while providing team members with an exceptional work environment with features such as:

  • Electric vehicle charging stations and close proximity to Historic Gardner Village UTA TRAX station.
  • At least 75% of the building is powered by on-site renewable solar energy.
  • Access to outdoor recreation, parks, trails, shareable bikes and locker rooms.
  • Large modern cafe with a healthy and diverse menu.
  • Healthy indoor environment with ample natural light and fresh air.
  • LEED-certified sustainable building that features include the use of low VOC-emitting construction materials.

Benefits: 

  • Medical, Dental and Vision Insurance - START DAY ONE! 
  • Life and Disability Insurance, Paid Parental Leave and Adoption Assistance
  • Health Savings (HSA), Flexible Spending (FSA) and dependent care accounts
  • Paid Training, Paid Time Off (PTO) and 11 Paid Federal Holidays
  • 401(k) plan with company match, Profit Sharing, competitive compensation in line with work experience
  • Mental health benefits including coaching and therapy sessions
  • Tuition Reimbursement for qualifying employees
  • Employee Ambassador preferred banking products

Apply now if you have a passion for impactful outcomes, enjoy working collaboratively with co-workers, and want to make a difference for the clients and communities we serve.

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