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Pytorch Developer Jobs in Oklahoma (NOW HIRING)

Senior AI Engineer

Lawton, OK · On-site

$100 - $130/hr

Experience with AI frameworks such as TensorFlow, PyTorch, scikit-learn and/or OpenCV strongly ... Lead a team of engineers in algorithm/model design and development * Provide mentorship and ...

Senior AI Engineer

Lawton, OK · On-site

$102K - $141K/yr

Experience with AI frameworks such as TensorFlow, PyTorch, scikit-learn and/or OpenCV strongly ... Lead a team of engineers in algorithm/model design and development * Provide mentorship and ...

Senior AI Engineer

Lawton, OK · On-site

$102K - $141K/yr

Experience with AI frameworks such as TensorFlow, PyTorch, scikit-learn and/or OpenCV strongly ... Lead a team of engineers in algorithm/model design and development * Provide mentorship and ...

AI Systems Engineer Location: Tulsa, OK Type: Direct Hire Work Model: Onsite - onsite Hours: 7:00 a ... Ollama, LangChain, OpenAI APIs, FastAPI, Pytorch or TensorFlow (preferred) * Familiarity with Linux ...

AI Systems Engineer Location: Tulsa, OK Type: Direct Hire Work Model: Onsite - onsite Hours: 7:00 a ... Ollama, LangChain, OpenAI APIs, FastAPI, Pytorch or TensorFlow (preferred) * Familiarity with Linux ...

AI Systems Engineer Location: Tulsa, OK Type: Direct Hire Work Model: Onsite - onsite Hours: 7:00 a ... Ollama, LangChain, OpenAI APIs, FastAPI, Pytorch or TensorFlow (preferred) * Familiarity with Linux ...

AI Systems Engineer Location: Tulsa, OK Type: Direct Hire Work Model: Onsite - onsite Hours: 7:00 a ... Ollama, LangChain, OpenAI APIs, FastAPI, Pytorch or TensorFlow (preferred) * Familiarity with Linux ...

AI Systems Engineer Location: Tulsa, OK Type: Direct Hire Work Model: Onsite - onsite Hours: 7:00 a ... Ollama, LangChain, OpenAI APIs, FastAPI, Pytorch or TensorFlow (preferred) * Familiarity with Linux ...

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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 cities in Oklahoma are hiring for Pytorch Developer jobs?

Cities in Oklahoma with the most Pytorch Developer job openings:

Infographic showing various Pytorch Developer job openings in Oklahoma as of August 2026, with employment types broken down into 79% Full Time, 7% Part Time, and 14% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

$100 - $130/hr

Other

Re-posted 3 days ago


Job description

Camgian is looking to expand its development organization with the addition of a Senior AI Engineer. We are focused on applying state-of-the-art Artificial Intelligence, Machine Learning, Computer Vision, and Deep Learning technologies to advance decision support products in the government and commercial markets. This is a hands‑on technical position that involves the development, training, and validation of AI, ML, CV & DL based algorithms and models. Teamwork, flexibility, and willingness to continuously learn new concepts & technologies are critical requirements for this position. Candidate must demonstrate strong technical, leadership, and communication skills and must be able to effectively lead a small to medium sized team.

Qualifications
  • Bachelor's Degree (Computer Science, Computer Engineering, Statistics, or Mathematics)
  • Proficiency in Python with a strong programming background
  • Strong Knowledge in AI, ML, and DL theory and concepts
  • Experience developing, training, and validating AI models to solve real world problems
  • 5+ years progressive professional experience
  • United States Citizenship
Desired Skills
  • Master's or PhD in a computer science related discipline
  • Experience with developing and deploying ML models into products and services
  • Experience with AI frameworks such as TensorFlow, PyTorch, scikit-learn and/or OpenCV strongly desired
  • Experience with tools such as NumPy, SciPy, Pandas, Matplotlib, MATLAB
  • Strong analytical skills and creative problem solving ability
  • Understanding of Agile development methodology
  • Excellent written and verbal communication skills
Responsibilities
  • Architect, design, develop, and test critical product features and sub-systems ensuring high quality
  • Lead a team of engineers in algorithm/model design and development
  • Provide mentorship and guidance to junior engineers
  • Track project/product milestones and releases ensuring schedule and budget are met
  • Prepare for and hold technical reviews to present your work to the company
  • Practice agile development focused on methodologies such as continuous integration
  • Lead continuous process and productivity improvements in the team
  • Engage in professional development activities to enhance your skillset

Exceptional work ethic, willingness to learn, tenacity not to quit, aptitude to surpass, and strong desire to work in a fast‑paced environment are necessary for success. Collaboration and cross pollination with other teams will be frequent; thus communication, openness, and willingness to share both success and failure is a must. We are a team‑centric organization, there are no individuals, we win and lose together.

Camgian offers a competitive salary, fun work environment, fringe benefits, and an equity opportunity.

Camgian Culture and Core Value Traits
  • Ability to work as part of a team while maintaining independent thinking
  • Self‑driven and self‑starter in addition to excellent communication skills
  • Thinking outside the box and an aptitude for innovation and problem solving
  • Always willing to explore the other side of fear, be challenged and to crave cutting edge technologies
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