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Tensorflow Pytorch Jobs in Somerset, NJ (NOW HIRING)

Expertise in Python, SQL, and Spark, and a broad array of machine learning frameworks (Scikit-Learn, XGBoost, Tensorflow, PyTorch, MXNet, LLM, etc). * Experience in developing and deploying solutions ...

Lead AI/ML Developer

New York, NY · On-site

$64.50 - $84.50/hr

Proficiency in Python with experience using libraries such as TensorFlow, PyTorch, Scikit-learn, or Keras. * Strong understanding of machine learning algorithms, deep learning, and natural language ...

Experience with TensorFlow, PyTorch, or comparable machine-learning frameworks. * Proven experience designing secure, scalable AI-powered applications and extensions on SAP BTP. * Knowledge of SAP ...

Utilize industry‑leading ML frameworks such as TensorFlow, PyTorch, and Sci‑Kit Learn to build, train, and deploy models. * Establish rigorous model evaluation and monitoring processes using ...

Data Scientist

Rahway, NJ · On-site

$55 - $60/hr

Experience with scikit-learn and at least one deep learning framework such as TensorFlow, PyTorch, or Keras. * Hands-on experience delivering real-world data science and machine learning solutions.

TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet 9. Familiarity with distance metrics (Hamming, Euclidean, Manhattan) 10. Working knowledge of Kubeflow and BentoML for model deployment and ...

TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet 9. Familiarity with distance metrics (Hamming, Euclidean, Manhattan) 10. Working knowledge of Kubeflow and BentoML for model deployment and ...

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Tensorflow Pytorch information

See Somerset, NJ salary details

$39.6K

$129.7K

$207.6K

How much do tensorflow pytorch jobs pay per year?

As of Jul 27, 2026, the average yearly pay for tensorflow pytorch in Somerset, NJ is $129,679.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,100.00 and $143,700.00 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 are popular job titles related to Tensorflow Pytorch jobs in Somerset, NJ? For Tensorflow Pytorch jobs in Somerset, NJ, the most frequently searched job titles are:
What cities near Somerset, NJ are hiring for Tensorflow Pytorch jobs? Cities near Somerset, NJ with the most Tensorflow Pytorch job openings:
AI Engineer (.NET, Azure, Oracle DB)

AI Engineer (.NET, Azure, Oracle DB)

1 point system

New York, NY • Remote

Contractor

Posted 19 days ago


Job description

Required Skills & Qualifications

  • Strong experience in .NET / C# / ASP.NET Core
  • Hands-on experience with Microsoft Azure services (Azure ML, App Services, Functions, Storage, etc.)
  • Solid experience with Oracle Database (PL/SQL, query optimization, schema design)
  • Knowledge of AI/ML concepts and frameworks (e.g., Python, TensorFlow, PyTorch, or ML.NET)
  • Experience in building and consuming REST APIs
  • Familiarity with microservices architecture
  • Understanding of DevOps practices and CI/CD pipelines
  • Good problem-solving and analytical skills