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Pytorch Developer Jobs in Frisco, TX (NOW HIRING)

Copart, Inc.

DevOps Engineering Intern

Dallas, TX · On-site

Position Overview We are seeking a motivated DevOps Intern to support the deployment, automation ... Exposure to AI/ML frameworks such as TensorFlow, PyTorch, or MLflow. * Experience building ...

Resolve Tech Solutions

Senior ML Engineer

Addison, TX

$101K - $138K/yr

Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit ... GCP Professional Machine Learning Engineer certification is required. Experience with version ...

Citi

Junior Generative AI Application Developer

Irving, TX · Hybrid

$64K - $83K/yr

PyTorch, TensorFlow, Fine-tuning Deployment: Enterprise DevOps Pipeline, Docker, Monitoring Tooling Data Analytics: Utilizing tools like Splunk, Tableau, and Adobe Analytics to track customer journey ...

IT America Inc

ML Engineer

Plano, TX · On-site

Develop and optimize machine learning and deep learning models using frameworks like TensorFlow or PyTorch. * Strong skills in programming languages such as Python, R, or Java, essential for ...

Citi

Junior Generative AI Application Developer

Irving, TX · Hybrid

$64K - $83K/yr

PyTorch, TensorFlow, Fine-tuning Deployment: Enterprise DevOps Pipeline, Docker, Monitoring Tooling Data Analytics: Utilizing tools like Splunk, Tableau, and Adobe Analytics to track customer journey ...

NTT DATA Services

SAP AI Lead Developer

Plano, TX · On-site

$56.50 - $74/hr

... PyTorch, Scikit-learn), and programming languages (Python, R). • Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices. • Strong architectural design and system integration skills ...

NTT DATA Services

SAP AI Lead Developer

Plano, TX · On-site +1

$56.50 - $74/hr

Proficiency with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn), and programming languages (Python, R). Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices. Strong ...

NTT DATA Services

SAP AI Lead Developer

Plano, TX · On-site +1

$56.50 - $74/hr

... PyTorch, Scikit-learn), and programming languages (Python, R). • Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices. • Strong architectural design and system integration skills ...

OMS MEDICAL BILLING LLC

AI/ML Engineer 1

Addison, TX · Hybrid

AI/ML Engineer I (Python) Location: Addison, TX | On-site, 5 days/week Type: Full-time Level: Early ... Practical PyTorch or scikit-learn experience, including how you validated the model and what you ...

Resolve Tech Solutions

Senior ML Engineer

Addison, TX · On-site

$101K - $138K/yr

... PyTorch, or scikit-learn. • Strong understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning. • ...

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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 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 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 popular job titles related to Pytorch Developer jobs in Frisco, TX?

For Pytorch Developer jobs in Frisco, TX, the most frequently searched job titles are:

What job categories do people searching Pytorch Developer jobs in Frisco, TX look for?

The top searched job categories for Pytorch Developer jobs in Frisco, TX are:

What cities near Frisco, TX are hiring for Pytorch Developer jobs?

Cities near Frisco, TX with the most Pytorch Developer job openings:

Pytorch Developer jobs near you

DevOps Engineering Intern

Copart, Inc.

Dallas, TX • On-site

Full-time

Re-posted 26 days ago

Copart rating

6.8

Company rating: 6.8 out of 10

Based on 108 frontline employees who took The Breakroom Quiz

12th of 19 rated auctioneers

Job description

Copart, Inc. a technology leader and the premier online vehicle auction platform globally, with over 200 facilities located across the world, Copart links vehicle sellers to more than 750,000 buyers in over 190 countries. We believe in providing an unmatched experience, every day and everywhere, driven by our people, processes, and technology.
Position Overview
We are seeking a motivated DevOps Intern to support the deployment, automation, and operation of modern cloud-native and AI-enabled applications. This role is ideal for candidates with foundational experience in Linux, cloud platforms, containerization, and software development who are eager to grow their skills in DevOps, MLOps, Kubernetes, and AI infrastructure.
The successful candidate will work closely with Software Engineers, Data Scientists, DevOps Engineers, and Product teams to help build, deploy, monitor, and maintain applications and infrastructure while learning industry best practices in automation, reliability, and operational excellence.
Key Responsibilities
DevOps & Platform Support
  • Assist in deploying and maintaining applications in cloud and on-premises environments.
  • Support containerized application deployments using Docker and Kubernetes.
  • Contribute to Infrastructure as Code (IaC) initiatives using tools such as Terraform or Ansible.
  • Help develop and maintain CI/CD pipelines for automated testing and deployments.
  • Assist with environment provisioning, configuration management, and automation tasks.
  • Participate in platform monitoring, logging, and troubleshooting activities.

AI / MLOps Support
  • Assist with deployment and monitoring of machine learning and AI applications.
  • Support AI workflows including model deployment and inference services.
  • Collaborate with Data Science and Engineering teams to operationalize ML models.
  • Learn and apply MLOps best practices including model versioning and monitoring.
  • Support AI infrastructure and resource optimization activities.

Application Deployment & Operations
  • Deploy and support Python and Java-based applications.
  • Assist in maintaining development, testing, and production environments.
  • Support workflow automation tools such as n8n and related platforms.
  • Troubleshoot application and infrastructure issues under guidance from senior engineers.
  • Create and maintain deployment documentation and operational procedures.

Monitoring & Reliability
  • Monitor application health, performance, and availability.
  • Respond to operational alerts and assist in incident resolution.
  • Participate in root cause analysis and continuous improvement initiatives.
  • Help improve observability through dashboards, logging, and alerting systems.

Collaboration
  • Work closely with engineering, product, and data teams on project delivery.
  • Participate in technical discussions, planning sessions, and sprint activities.
  • Follow organizational security, reliability, and DevOps standards.
  • Document processes, procedures, and technical solutions.

Preferred Qualifications
  • Currently pursuing or recently completed a degree in Computer Science, Information Technology, Software Engineering, or a related field.
  • Understanding of Linux administration and command-line tools.
  • Familiarity with Docker and containerized applications.
  • Exposure to Kubernetes concepts and orchestration.
  • Experience with Python, Java, Bash, or similar programming languages.
  • Familiarity with Git and version control workflows.
  • Basic understanding of CI/CD concepts and automation tools.
  • Knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
  • Exposure to machine learning, AI applications, or MLOps concepts is a plus.
  • Strong problem-solving, communication, and collaboration skills.

Nice-to-Have Skills
  • Personal, academic, or internship projects involving Kubernetes or cloud deployments.
  • Experience with Terraform, Ansible, Jenkins, GitHub Actions, or GitLab CI/CD.
  • Familiarity with monitoring tools such as Prometheus and Grafana.
  • Exposure to AI/ML frameworks such as TensorFlow, PyTorch, or MLflow.
  • Experience building automation scripts using Python.

#LS-MS1
At Copart, we are focused on harnessing the power of diversity, inclusion, and collaboration. By embracing diverse perspectives, we open doors to innovation and unleash the full potential of our team. We are dedicated to fostering a workplace where everyone feels appreciated, included, and inspired to grow and contribute meaningfully.
E-Verify Program Participant: Copart participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:
  • E-verify Participation
  • Right to Work

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