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Pytorch Developer Jobs in Brooklyn, NY (NOW HIRING)

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 ...

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 ...

DevOps Engineer

Newark, NJ · Remote

$79.21 - $104.97/hr

Familiarity with machine learning frameworks and libraries such as PyTorch, Tensorflow and scikit-learn. * Deep understanding of DevOps principles, agile methodologies and software development ...

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 ...

MLOps Engineer (JAX, PyTorch, Pallas/Triton) Type: Contract Compensation: $70-$110/hour Location: Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to ...

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 ...

MLOps Engineer (JAX, PyTorch, Pallas/Triton) Type: Contract Compensation: $70-$110/hour Location: Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to ...

As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and ... Strong proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or ...

iSoftStone, Inc. is seeking an Associate AI Developer to join our Team In New York, NY, Seattle, WA ... Exposure to deep learning frameworks (PyTorch, TensorFlow), MLOps/observability (MLflow ...

iSoftStone, Inc. is seeking an Associate AI Developer to join our Team In New York, NY, Seattle, WA ... Exposure to deep learning frameworks (PyTorch, TensorFlow), MLOps/observability (MLflow ...

Description iSoftStone, Inc. is seeking an Associate AI Developer to join our Team In New York, NY ... Exposure to deep learning frameworks (PyTorch, TensorFlow), MLOps/observability (MLflow ...

iSoftStone, Inc. is seeking an Associate AI Developer to join our Team In New York, NY, Seattle, WA ... Exposure to deep learning frameworks (PyTorch, TensorFlow), MLOps/observability (MLflow ...

Showing results 41-60

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 near Brooklyn, NY are hiring for Pytorch Developer jobs?

Cities near Brooklyn, NY with the most Pytorch Developer job openings:

Infographic showing various Pytorch Developer job openings in Brooklyn, NY 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.

Machine Learning Engineer@ VA/ NYC

Palnar

Manhattan, NY • On-site

Full-time

Re-posted 23 days ago


Job description

Role Info:
  • Looking for a Machine Learning Engineer with strong python, scala, AWS, Kubernetes & machine learning frameworks.
  • 80% of model Engineering work & 20% of operations work
  • Email arbitration with real time data processing.
  • Has model in Random forest model and moving to transformers soon in feature development.

Top Skills:
  • 5+ years of exp. in Machine Learning Engineer
  • Python exp. is a must.
  • Scala exp. is a must.
  • ML Frameworks (TensorFlow, PyTorch, Scikit-learn & Keras) exp. is a must.
  • AWS exp. is a must.
  • Kubernetes exp. is a must.
  • Experience with CI/CD