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Pytorch Developer Jobs in Providence, RI (NOW HIRING)

Openkyber

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 ...

Bespoke Labs

Machine Learning Engineer

Cranston, RI · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Bristol, RI · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Providence, RI · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Brockton, MA · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Warwick, RI · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Pawtucket, RI · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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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 Providence, RI? For Pytorch Developer jobs in Providence, RI, the most frequently searched job titles are:
What job categories do people searching Pytorch Developer jobs in Providence, RI look for? The top searched job categories for Pytorch Developer jobs in Providence, RI are:
Pytorch Developer jobs near you

GenAI / NLP Developer

Prophecy Technologies

Woonsocket, RI • On-site

Full-time

Posted 3 days ago

Job description

Job Summary
We are seeking an experienced GenAI / NLP Developer with strong Python and deep learning expertise to design, develop, and deploy Large Language Model (LLM)-based solutions. The role focuses on Generative AI, NLP applications, vector databases, and modern AI frameworks, with exposure to cloud platforms and agentic architectures.
Key Responsibilities
  • Develop, fine-tune, and deploy LLM-based applications using Python.
  • Implement Generative AI solutions using prompt engineering techniques and vector databases.
  • Build, train, and optimize NLP models including text classification, sentiment analysis, and summarization.
  • Utilize frameworks such as LangChain or similar tools for LLM orchestration.
  • Support rapid application development using Streamlit, FastAPI, or Flask.
  • Collaborate with cross-functional teams in an Agile development environment.

Required Skills & Experience
  • 6+ years of overall experience in software development, data analytics, or data science.
  • 2+ years of hands-on experience with deep learning, NLP, and GenAI technologies.
  • Strong proficiency in Python programming.
  • Experience with deep learning frameworks such as TensorFlow and PyTorch.
  • Hands-on experience with Hugging Face Transformers.
  • Practical experience with vector databases and prompt engineering.
  • Solid understanding of Large Language Models (LLMs) and real-world AI applications.
  • Experience deploying AI/ML solutions on Azure or GCP (preferred).
  • Knowledge of agentic or multi-agent architectures (e.g., AutoGen) is a plus.
  • Healthcare domain knowledge is a plus.

Competencies
  • Strong problem-solving and analytical skills
  • Ability to work independently and in collaborative Agile teams
  • Excellent communication and documentation skills
  • Innovative mindset with focus on practical AI solutions

Preferred Skills
  • Experience with AI & GenAI solutions for Business Process Services (BPS)
  • Exposure to cloud-native AI deployments
  • Familiarity with rapid prototyping and proof-of-concept development

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