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Pytorch Developer Jobs in New York (NOW HIRING)

Mercor

PyTorch MLOps Engineer - AI Specialist

New York, NY · Remote

$70 - $110/hr

PyTorch Expert Type: Contract Compensation: $70-$110/hour Location: Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to close knowledge gaps and improve ...

Saransh Inc

Agentic AI Developer

Jersey City, NJ · On-site

AI enabled chatbot Langchain TensorFlow Java PyTorch RASA Python AI Experience: 10-14 yrs Required ... Proficiency in programming languages such as Python, Java, or similar. * Experience with AI ...

Saransh Inc

Lead AI/ML Developer

New York, NY · On-site

$64.50 - $84.50/hr

Lead AI/ML Developer Location: NYC, NY (Hybrid - 3 days a week onsite) Job Type: Contract ... Tensor, PyTorch * AWS, Azure * Pandas, Numpy * CI/CD

Photon

GenAI Developer / Python

Manhattan, NY · On-site

$55.50 - $76.25/hr

ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, and LLM monitoring. Tools: Prompt Engineering, Workflow Design, and GenAI Optimization. Key ...

New

Photon

Python + Gen AI Developer - New York

Manhattan, NY · On-site

$55 - $76/hr

ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, and LLM monitoring. Tools: Prompt Engineering, Workflow Design, and GenAI Optimization. Key ...

Capgemini

AI Solutions Developer

New York, NY · On-site

$55 - $75.75/hr

Design build and optimize machine learning and deep learning models using PyTorch TensorFlow and ... Work closely with product engineering and business teams to translate strategic requirements into ...

United Airlines

AI Solutions Developer

Manhattan, NY · On-site

Design build and optimize machine learning and deep learning models using PyTorch TensorFlow and ... Work closely with product engineering and business teams to translate strategic requirements into ...

Spiral

Developer Relations Engineer

New York, NY · On-site

$175K - $275K/yr

The Role This is our first DevRel hire, and it is a content and developer-experience role. You'll ... Open-source contributions in relevant territory (PyTorch data / DataLoader, HF datasets, Ray Data ...

Lightning AI

AI Platform Support Engineer (US)

New York, NY · On-site

$151K/yr

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end ... Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer ...

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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 New York? For Pytorch Developer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Pytorch Developer jobs in New York look for? The top searched job categories for Pytorch Developer jobs in New York are:
What cities in New York are hiring for Pytorch Developer jobs? Cities in New York with the most Pytorch Developer job openings:
Pytorch Developer jobs near you
Infographic showing various Pytorch Developer job openings in New York as of August 2026, with employment types broken down into 79% Full Time, 3% Part Time, and 18% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.

Python Full Stack Developer (AI/ML PyTorch, TensorFlow, Python, SQL)

IT Solutions

Bedminster, NJ • On-site

Other

Posted yesterday

New

Job description

Job Title: Python Full Stack Developer (AI/ML PyTorch, TensorFlow, Python, SQL)

Location: Bedminster, NJ (Day 1 Onsite)
Duration: Contract

Job Summary

We are seeking a highly skilled AI/ML Backend Developer with strong expertise in PyTorch, TensorFlow, Python, and SQL to design, develop, and deploy machine learning solutions. The ideal candidate will have hands-on experience building AI/ML models, strong SQL coding skills, an excellent academic background with a strong GPA, and 1 2 years of U.S. client/project experience.

Required Qualifications

  • Master's, or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field from an accredited university.
  • Strong GPA with an excellent academic record.
  • 1 2 years of U.S. client/project experience is mandatory.
  • 5+ years of overall software development experience.
  • Strong proficiency in Python programming.
  • Hands-on experience with PyTorch and TensorFlow for developing, training, and deploying deep learning models.
  • Strong SQL coding skills with experience writing complex queries, joins, stored procedures, views, CTEs, and query optimization.
  • Experience developing and consuming RESTful APIs.
  • Knowledge of software development best practices, Git, and Agile/Scrum methodologies.

Key Responsibilities

  • Design, build, train, and deploy AI/ML models using PyTorch and TensorFlow.
  • Develop scalable backend services in Python to support AI/ML applications.
  • Write and optimize complex SQL queries to process and analyze large datasets.
  • Collaborate with data scientists, software engineers, and business stakeholders to deliver AI-driven solutions.
  • Integrate machine learning models into production environments.
  • Perform model evaluation, optimization, and performance tuning.
  • Ensure code quality through unit testing, code reviews, and CI/CD practices.
  • Troubleshoot production issues and improve application performance.

Required Technical Skills

  • Python
  • PyTorch
  • TensorFlow
  • SQL (Advanced coding and optimization)
  • REST APIs
  • Git
  • Linux/Unix
  • Agile/Scrum

Preferred Skills

  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Knowledge of Docker and Kubernetes.
  • Experience with MLOps tools and model deployment pipelines.
  • Familiarity with LLMs, NLP, or Generative AI is a plus.

Mandatory Screening Criteria

  • Strong hands-on experience with PyTorch.
  • Strong hands-on experience with TensorFlow.
  • Strong SQL coding experience (candidate must explain where SQL was used and demonstrate coding expertise).
  • Strong GPA.
  • 1 2 years of U.S. client experience.
  • Excellent communication and problem-solving skills.

Apply