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Pytorch Developer Jobs in Rhode Island (NOW HIRING)

Sr. AI Solutions Engineer

Woonsocket, RI · On-site

$53 - $68.25/hr

LangChain, LangGraph, PyTorch, MLFlow, Cloud Platforms: GCP Vertex AI, Kubernetes DevOps & Automation: GitHub Actions Qualifications Bachelor's degree in Computer Science, Engineering, or related ...

Perception Engineer About Vatn Systems: Vatn Systems is an innovative startup at the forefront of ... Working knowledge of deep learning frameworks (PyTorch preferred) for detection or segmentation ...

Perception Engineer About Vatn Systems: Vatn Systems is an innovative startup at the forefront of ... Working knowledge of deep learning frameworks (PyTorch preferred) for detection or segmentation ...

SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...

SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...

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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 Rhode Island are hiring for Pytorch Developer jobs?

Cities in Rhode Island with the most Pytorch Developer job openings:

MLE Engineer

Woonsocket, RI • On-site

Indotronix International Corporation
Recruiting and Staffing Services • 1 - 5K employees

Contractor

Re-posted 19 hours ago


Job description

  • Looking for a true Machine Learning Engineer - senior level, 5 yrs of experience.
  • Heavy on the model selection, build, training side. They will be looking at data sets, choosing the correct model for the data, and building it.
  • Less knowledge needed on deployment and post-production.
  • Should be able to decipher the data, know what it’s saying and choose the best model, but does not need data engineering experience.
  • Responsible for validating the model, measuring outputs, accuracy. Important that they know what makes a “good” model.
  • Strong Python programming, ability to write production code.
  • GCP would be preferred, but AWS/Azure is acceptable.
  • Experience in Tensorflow/PyTorch or related frameworks

Indotronix logo

About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US