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Pytorch Developer Jobs in Jersey City, NJ (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 ...

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 ...

Virtusa Corporation

ML Engineer

New York, NY · On-site

... PyTorch). - Experience with containers and orchestration (Docker/Kubernetes) and API development. - Understanding of ML system design (data leakage, training-serving skew, drift). - CI/CD and DevOps ...

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 ...

Spiral

Developer Relations Engineer

Manhattan, NY · On-site

$120 - $180/hr

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 ...

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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 are popular job titles related to Pytorch Developer jobs in Jersey City, NJ?

For Pytorch Developer jobs in Jersey City, NJ, the most frequently searched job titles are:

What job categories do people searching Pytorch Developer jobs in Jersey City, NJ look for?

The top searched job categories for Pytorch Developer jobs in Jersey City, NJ are:

What cities near Jersey City, NJ are hiring for Pytorch Developer jobs?

Cities near Jersey City, NJ with the most Pytorch Developer job openings:

Pytorch Developer jobs near you

Lead Backend Architect - Node.js, Cloud & AI | New York, NY (Onsite)

Tech Mirrors

Manhattan, NY • On-site

$180 - $260/hr

Other

Posted 5 days ago

Job description

Role

Lead Backend Architect – Node.js, Cloud & AI

Location: New York, NY (Onsite)

Duration: Long Term Contract

Years of Experience: 12-14+ Years

12+ years of experience in designing and building enterprise‑scale, cloud‑native backend systems and distributed architectures.

Technical & Functional Skills
  • Strong hands‑on expertise in Node.js, JavaScript, and TypeScript (must have), with working knowledge of Python and Go.
  • Extensive experience developing microservices, REST/gRPC APIs, event‑driven architectures, and scalable backend platforms.
  • Strong expertise in AWS and/or GCP, Kubernetes, Docker, cloud‑native architecture, and CI/CD pipelines.
  • Experience with distributed messaging and streaming technologies such as Kafka, queues, and asynchronous processing.
  • Proven experience designing highly available, secure, scalable, and resilient backend systems.
  • Strong understanding of databases (SQL/NoSQL), caching, observability, logging, and performance optimization.
  • Mandatory experience integrating large language models (LLMs) into enterprise applications and backend platforms.
  • Hands‑on experience with Agentic AI frameworks such as LangGraph, LangChain, LlamaIndex, CrewAI, or Semantic Kernel.
  • Experience building retrieval‑augmented generation (RAG) pipelines, AI orchestration workflows, and LLM gateways.
  • Working knowledge of PyTorch, Hugging Face ecosystem, embeddings, inference, and model evaluation.
  • Strong understanding of AI governance, evaluation, safety, and responsible AI practices.
  • Excellent architecture, technical leadership, stakeholder management, and mentoring skills.
Required Technologies
  • Languages: Node.js, JavaScript, TypeScript, Python, Go
  • Cloud: AWS/GCP
  • Containers: Kubernetes, Docker
  • APIs: REST, gRPC
  • Messaging: Kafka or equivalent
  • AI Frameworks: LangGraph, LangChain, LlamaIndex, CrewAI, Semantic Kernel
  • ML: Hugging Face, PyTorch
  • DevOps: CI/CD, Terraform (preferred)
Roles & Responsibilities
  • Lead the architecture, design, and implementation of scalable cloud‑native backend platforms for Lounge Services.
  • Design and develop high‑performance microservices and APIs using Node.js/TypeScript on AWS/GCP.
  • Define architecture standards for distributed systems, event‑driven solutions, messaging, and cloud‑native applications.
  • Drive the adoption of AI capabilities by integrating LLMs and Agentic AI into enterprise backend services.
  • Design and implement reusable AI platform components including orchestration, RAG pipelines, model gateways, and AI observability.
  • Provide technical leadership across engineering teams, driving architecture reviews, engineering best practices, and technology decisions.
  • Collaborate with Product, Engineering, Security, and Enterprise Architecture teams to deliver scalable and secure solutions.
  • Mentor engineering teams and influence technical direction across multiple initiatives.
  • Evaluate emerging backend, cloud, and AI technologies and recommend enterprise adoption where appropriate.
  • Ensure solutions meet enterprise standards for scalability, reliability, security, performance, and operational excellence.
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