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Tensorflow Pytorch Jobs in Bedminster, NJ (NOW HIRING)

Accord Technologies Inc.

Sr. AI Developer w/ Reactjs

Warren, NJ · On-site

$56.50 - $74.75/hr

Strong proficiency in Python, with experience in AI/ML libraries such as TensorFlow, PyTorch, or Hugging Face. * Hands-on experience with React.js and front-end development. * Practical knowledge of ...

EisnerAmper

AI Solution Architect

Iselin, NJ · On-site

$64 - $84.25/hr

TensorFlow, PyTorch, Scikit-learn, Transformers • Vector Databases: Azure Cosmos DB, Pinecone, or Weaviate • DevOps & MLOps: Azure DevOps, GitHub Actions, Docker, Kubernetes Company : EisnerAmper ...

Accord Technologies Inc.

Senior AI Engineer

Piscataway, NJ · On-site

$106K - $146K/yr

Develop and deploy machine learning models using Python and frameworks like PyTorch and TensorFlow. * Design and implement solutions involving Large Language Models (LLMs), embeddings, vector ...

Lindsay & Brownell

AI Solution Architect

Princeton, NJ · On-site +1

$66 - $87/hr

TensorFlow, PyTorch, Scikit-learn, Transformers * Vector Databases: Azure Cosmos DB, Pinecone, or Weaviate * DevOps & MLOps: Azure DevOps, GitHub Actions, Docker, Kubernetes About EisnerAmper:

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Tensorflow Pytorch information

See Bedminster, NJ salary details

$38.3K

$125.2K

$200.5K

How much do tensorflow pytorch jobs pay per year?

As of Jun 20, 2026, the average yearly pay for tensorflow pytorch in Bedminster, NJ is $125,217.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,500.00 and $138,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Deep Learning Engineer specializing in TensorFlow and PyTorch, and why are they important?

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.

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 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.

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 cities near Bedminster, NJ are hiring for Tensorflow Pytorch jobs? Cities near Bedminster, NJ with the most Tensorflow Pytorch job openings:
Tensorflow Pytorch jobs near you

Microsoft Certified: Azure AI Engineer Newark - NJ - New Jersey

Sierra Business Solution LLC

Newark, NJ

Other

Posted 4 days ago

Job description

Newark NJ

Job Description:

>> Looking for an AI Engineer with 8 10 years of experience in:

>> - Python

>> - Azure AI Foundry Azure OpenAI

>> - Generative AI, LLMs, RAG

>> - LangChain, Semantic Kernel, crewAI

>> - Azure ML, Microsoft Fabric

>> - MLOps, Docker, CICD

>> - TensorFlow, PyTorch, Scikit-learn

>> - APIs, Microservices, MySQL

Requirements:

>> 8-10 years of experience in AI engineering

>> Proficiency in Python and Azure AI technologies

>> Experience with Generative AI, LLMs, RAG, LangChain, Semantic Kernel, crewAI

>> Experience with Azure ML, Microsoft Fabric, MLOps, Docker, CICD

>> Familiarity with TensorFlow, PyTorch, Scikit-learn, APIs, Microservices, and MySQL

>> Preferred: Azure AI Engineer Associate or Azure AI Apps & Agents Developer Associate Certification

Apply