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Pytorch Developer Jobs in Pennsylvania (NOW HIRING)

NavitasPartners

Python, PyTorch, LangChain, MLOps * Data Engineering: Databricks, Snowflake, Synapse, BigQuery * Cloud/Data Architecture alignment across AWS, Azure, GCP * AI Governance: Responsible AI and ...

NavitasPartners

Python, PyTorch, LangChain, MLOps * Data Engineering: Databricks, Snowflake, Synapse, BigQuery * Cloud/Data Architecture alignment across AWS, Azure, GCP * AI Governance: Responsible AI and ...

The Pennsylvania State University

$76K - $129K/yr

Exposure to AI/ML frameworks or tools (e.g., TensorFlow, PyTorch) * Solid experience with CI/CD pipelines and DevOps practices Your working location will be fully on-site located in either State ...

The Pennsylvania State University

$86K - $191K/yr

Exposure to AI/ML frameworks or tools (e.g., TensorFlow, PyTorch) * Solid experience with CI/CD pipelines and DevOps practices * Current eligibility for access to classified information at the Secret ...

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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 Pennsylvania? For Pytorch Developer jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Pytorch Developer jobs in Pennsylvania look for? The top searched job categories for Pytorch Developer jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Pytorch Developer jobs? Cities in Pennsylvania with the most Pytorch Developer job openings:
Pytorch Developer jobs near you
Infographic showing various Pytorch Developer job openings in Pennsylvania as of May 2026, with employment types broken down into 88% Full Time, 2% Part Time, and 10% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.

GenAI & Agentic AI Engineer - Enterprise AI Platforms - AIRLHV

NavitasPartners

Pittsburgh, PA • On-site, Remote

Other

Posted 13 days ago

Job description

 GenAI & Agentic AI Engineer - Enterprise AI Platforms 

Location: US / Canada (Remote/Hybrid) 
Type: Contract / Full-Time 

Overview: 

We are seeking a GenAI & Agentic AI Engineer to design and deliver next-generation AI solutions leveraging LLMs and autonomous agents across enterprise platforms. 

Key Responsibilities: 

  • Design and develop GenAI and agent-based AI solutions  
  • Build scalable AI systems integrated with enterprise data platforms  
  • Collaborate with data engineers, architects, and business teams  
  • Ensure performance, governance, and reliability of AI systems  

Required Skills: 

  • Strong experience in AI/ML and GenAI development  
  • Cloud exposure (AWS, Azure, GCP)  
  • Hands-on experience with LLMs and AI frameworks  

Nice to Have / Coverage: 

  • ML/AI Engineering: Python, PyTorch, LangChain, MLOps  
  • Data Engineering: Databricks, Snowflake, Synapse, BigQuery  
  • Cloud/Data Architecture alignment across AWS, Azure, GCP  
  • AI Governance: Responsible AI and compliance considerations  

For more details reach at resumes@navitassols.com.

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