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Pytorch Developer Jobs in New York (NOW HIRING)

Quantitative Developer Intern

New York, NY · On-site

$21 - $27.50/hr

We are looking for exceptional students to join us as quantitative developer interns for Summer ... Numpy, Pandas, PyTorch, etc.) * Knowledge of version control (Git) and software CI/CD tools and ...

Senior AI Engineer

Piscataway, NJ · On-site

$106K - $146K/yr

Senior AI Engineer Location: Piscataway, NJ (Hybrid from day one) Local to NJ candidates are ... Develop and deploy machine learning models using Python and frameworks like PyTorch and TensorFlow.

Senior AWS Python Developer

New York, NY · On-site

$132K - $178K/yr

... PyTorch Tensor Flow is strongly preferred Familiarity with the agile process stand ups planning ... engineering a plus Skills Mandatory Skills : AWS API Gateway, AWS Cloud Architecture, Python

Sr. AI Developer w/ Reactjs

Warren, NJ · On-site

$56.50 - $74.75/hr

Sr. AI Developer w/ Reactjs Location: Warren, NJ (Onsite) Position type: W2 contract. Job Overview ... Strong proficiency in Python, with experience in AI/ML libraries such as TensorFlow, PyTorch, or ...

AI Fullstack Developer

Montvale, NJ · On-site +1

$75 - $85/hr

* We are seeking a highly skilled Full Stack Developer with a strong background in React , RESTful ... Experience working with or integrating AI/ML models via Python, TensorFlow, PyTorch, or APIs (e.g ...

Senior ML Infrastructure Engineer

Edison, NJ · On-site

$110K - $149K/yr

Required : • Azure • DevOps • Docker • CI/CD • Generative AI • Kubernetes / AKS • ... config via PyTorchPyTorch (GPU inference) • Batching • FP16 • memory management • ...

ML/AI Developer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not ... Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks ...

Required : • Expert in some differentiable array computing framework, preferably PyTorch. • ... Significant systems programming experience; ex. Experience working on high-performance server ...

ML/AI Developer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not ... Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks ...

Senior AI/ML Engineer

Fort Lee, NJ · On-site

$106K - $146K/yr

... TensorFlow, PyTorch, or Hugging Face Qualifications : Required : • Work with current ... Engineer and refine prompts to enhance AI performance and output quality • Knowledge of ...

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 ...

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 ...

Senior AI/ML Engineer

Fort Lee, NJ · On-site

$160K - $200K/yr

Engineer and refine prompts to enhance AI performance and output quality * Deploy and scale AI ... Develop, fine-tune, and optimize generative AI models using TensorFlow, PyTorch, or Hugging Face ...

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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 cities in New York are hiring for Pytorch Developer jobs? Cities in New York with the most Pytorch Developer job openings:
Infographic showing various Pytorch Developer job openings in New York as of June 2026, with employment types broken down into 88% Full Time, 1% Part Time, and 11% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.
Python Developer with GenAI Experience - NYC, NY - Contract opportunity(c2c/W2)

Python Developer with GenAI Experience - NYC, NY - Contract opportunity(c2c/W2)

Zodiac Solutions

New York, NY • On-site

$55 - $75.75/hr

Contractor

Posted 3 days ago


Job description

Role: Python Developer with GenAI Experience

Location: NYC, NY

Duration: Long term contract

Final interview will be face to face

Key Responsibilities:

  • Develop, optimize, and deploy Python-based AI and machine learning models, particularly focusing on Generative AI (e.g., GPT, DALL-E, etc.).
  • Collaborate with data scientists, researchers, and product teams to translate business requirements into AI solutions.
  • Fine-tune and customize pre-trained GenAI models for specific use cases.
  • Implement APIs and integrate GenAI capabilities into existing platforms and applications.
  • Build scalable, robust, and maintainable AI pipelines and workflows.
  • Ensure the quality, security, and performance of AI applications.
  • Stay updated with the latest advancements in Generative AI and incorporate best practices.
  • Document development processes, models, and workflows.

Required Skills and Qualifications:

  • Strong proficiency in Python programming.
  • Hands-on experience working with Generative AI models (e.g., GPT, BERT, DALL-E, etc.).
  • Experience with deep learning frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.
  • Solid understanding of NLP, Computer Vision, or related AI domains.
  • Familiarity with cloud platforms like AWS, Azure, or GCP for deploying AI models.
  • Knowledge of data preprocessing, model validation, and evaluation techniques.
  • Strong problem-solving skills and ability to work in a fast-paced environment.
 
Thanks,
Sanjay Kumar
sanjay.kumar@zodiac-solutions.com