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Tensorflow Pytorch Jobs in Newark, NJ (NOW HIRING)

DDN

Principal Solutions Architect - FSI

Manhattan, NY · On-site

$180 - $240/hr

Hands‑on familiarity with tools and frameworks such as TensorFlow, PyTorch, NVIDIA Enterprise Suite, NeMO, and NIMs. * Ability to communicate effectively with both technical teams and executive ...

Sbhonline

Developer/Engineer

Manhattan, NY · On-site

$100 - $130/hr

Deep experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit‑Learn * Strong hands‑on experience with cloud platforms including AWS, Google Cloud Platform (GCP), or ...

Pivotal Solutions

Senior AI Engineer

Manhattan, NY · On-site

$115K - $158K/yr

Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or similar. Expertise in generative models, neural networks, and reinforcement learning. Advanced degree (Ph.D. or equivalent) in ...

Inficare Technologies

Sr. GenAI Engineer

Jersey City, NJ · On-site

$108K - $149K/yr

Experience with TensorFlow, PyTorch, Scikit-learn, and OpenAI API * Cloud platforms: AWS, Azure, Google Cloud Platform, Snowflake, or Databricks * Containerization: Docker, Kubernetes; microservices ...

Virtusa Corporation

Systems Architect

New York, NY · On-site

$265K/yr

Experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch). * Solid understanding of machine learning algorithms and data structures. * Ability to work with large datasets and cloud ...

Virtusa Corporation

AI Architect

New York, NY · On-site

Experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch). * Solid understanding of machine learning algorithms and data structures. * Ability to work with large datasets and cloud ...

Accord Technologies Inc.

Gen AI Architect

New York, NY · On-site

$69 - $90.75/hr

Experience with AI/ML tools and frameworks such as TensorFlow, PyTorch, Hugging Face, LangChain, LangGraph, or similar. * Deep understanding of data workflows, feature engineering, model training ...

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All JobsTensorflow Pytorch JobsTensorflow Pytorch Jobs in Newark, NJ

Tensorflow Pytorch information

See Newark, NJ salary details

$39.2K

$128.4K

$205.5K

How much do tensorflow pytorch jobs pay per year?

As of Sep 6, 2026, the average yearly pay for tensorflow pytorch in Newark, NJ is $128,351.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,000.00 and $142,200.00 per year, depending on experience, location, and employer.

What are TensorFlow and PyTorch?

TensorFlow and PyTorch are two of the most popular open-source deep learning frameworks used by researchers and developers to build, train, and deploy machine learning models. TensorFlow, developed by Google, offers robust support for production environments and has a large ecosystem. PyTorch, developed by Facebook, is known for its flexibility, ease of use, and dynamic computational graph, making it popular in academia and research. Both frameworks support a wide range of neural network architectures and are used extensively for tasks such as computer vision, natural language processing, and reinforcement learning.

What are the key skills and qualifications needed to thrive as a deep learning engineer specializing in TensorFlow and PyTorch?

To thrive as a Deep Learning Engineer with a focus on TensorFlow and PyTorch, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree. Proficiency in programming languages like Python, experience with TensorFlow and PyTorch frameworks, and familiarity with cloud platforms or GPU computing are essential. Analytical thinking, problem-solving, and effective communication are standout soft skills for collaborating with teams and interpreting model results. These skills are crucial for developing, deploying, and optimizing AI models that drive innovation and solve complex real-world problems.

How do TensorFlow/PyTorch engineers typically collaborate with data scientists and other team members in a production environment?

TensorFlow and PyTorch engineers often work closely with data scientists to transform experimental machine learning models into efficient, scalable production solutions. Collaboration involves frequent code reviews, shared development environments, and regular meetings to align model requirements with deployment constraints. Engineers also coordinate with DevOps teams to ensure smooth integration and monitoring of models in production. Strong communication skills and a willingness to iterate on solutions are essential for bridging the gap between research and real-world application.

What is the difference between Tensorflow Pytorch vs Data Scientist?

AspectTensorflow PytorchData Scientist
Required SkillsDeep learning frameworks, Python, machine learningData analysis, statistical skills, Python/R, machine learning
Work EnvironmentAI/ML development, research, software engineeringData analysis, reporting, business insights
Industry UsageAI/ML projects, research labs, tech companiesBusiness, finance, healthcare, tech

Tensorflow and Pytorch are deep learning frameworks used primarily by AI/ML developers, while Data Scientists utilize these tools for data analysis and modeling. Although their skill sets overlap, Tensorflow Pytorch focus on model development, whereas Data Scientists apply these models to derive insights and inform decisions.

What cities near Newark, NJ are hiring for Tensorflow Pytorch jobs?

Cities near Newark, NJ with the most Tensorflow Pytorch job openings:

Tensorflow Pytorch jobs near you

AI Engineer C2C jobs with AI Azure Foundry at Newark, NJ

Tech Mirrors

Newark, NJ • On-site

$100 - $130/hr

Other

Posted 19 days ago

Job description

Job Title: AI Engineer with AI Azure Foundry

Location: Newark, NJ
Duration: Contract

Key Responsibilities

An Azure AI Foundry AI Engineer designs, builds, and deploys intelligent generative AI, agentic workflows, and RAG (Retrieval-Augmented Generation) applications. This role requires coding with Python, orchestrating AI models, and adhering to responsible AI standards for enterprise scalability.

  • AI & Agent Development: Design autonomous or semi-autonomous AI agents and RAG pipelines using Azure AI Foundry.
  • Model Orchestration & Integration: Build and fine-tune large language models (LLMs) and integrate them with business applications, Copilot Studio, and data pipelines.
  • Testing & Evaluation: Implement performance and evaluation tooling such as RAGAS or TruLens to assess grounding accuracy, reduce hallucinations, and ensure model explainability.
  • Infrastructure Management: Develop scalable AI infrastructure and maintain reusable AI components in accordance with engineering best practices (version control, observability, CI/CD).
Core Requirements & Skills

Technical Skills: Proficiency in Python, prompt engineering, and utilizing frameworks like LangChain, Semantic Kernel, or crewAI.

Cloud Experience: Deep understanding of the Microsoft Azure ecosystem, including Azure OpenAI Service, Azure Machine Learning, and Microsoft Fabric.

AI Governance: Strong focus on Responsible AI and Model Context Protocol (MCP) to ensure security, privacy, and fairness in model outputs.

Experience: Typically requires a bachelor’s degree in computer science or a related field, alongside 2-5+ years of software or AI/ML engineering experience.

  • Python (primary language)
  • ML frameworks: TensorFlow, PyTorch, Scikit-learn
  • Data pipelines and preprocessing
  • Model deployment and MLOps (e.g., MLflow, Docker, CI/CD)
  • Machine learning, deep learning, and statistics
  • Data modeling and feature engineering
  • APIs and microservices
  • Cloud platforms (Azure ML, SageMaker, Vertex AI)
  • LLMs (GPT, Llama, etc.)
  • RAG (Retrieval-Augmented Generation)
  • Prompt engineering and vector databases
  • Ability to build AI-powered applications (chatbots, agents, copilots).
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