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Tensorflow Pytorch Jobs in Newark, NJ (NOW HIRING)

Experience with embedded systems and machine learning programing * platforms including TensorFlow, PyTorch etc Additional Information All your information will be kept confidential according to EEO ...

Experience with embedded systems and machine learning programing * platforms including TensorFlow, PyTorch etc Additional Information All your information will be kept confidential according to EEO ...

Experience with embedded systems and machine learning programing * platforms including TensorFlow, PyTorch etc Additional Information All your information will be kept confidential according to EEO ...

AI Engineer

Manhattan, NY · On-site

$120 - $160/hr

Proficiency in Python and AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn * Experience with NLP, computer vision, or generative AI is a strong plus * Familiarity with cloud platforms ...

... TensorFlow, PyTorch, or similar. • Hands-on experience with MLOps, including model training, validation, deployment, and ongoing monitoring. • Proven ability to integrate AI/ML models into ...

Strong proficiency in Python, R, SQL, and ML/DL frameworks (TensorFlow, PyTorch). Hands-on experience with LLMs, Generative AI, NLP, and MLOps tools. Expertise in time-series modeling, predictive ...

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 ...

... TensorFlow PyTorch XGBoost or equivalent Knowledge of data visualization and analytical storytelling Strong problem solving and communication skills Preferred Qualifications Experience with ...

Showing results 21-40

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 7, 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:

Sr. Python AI/ML Engineer

NAVA Software Solutions

Morris Plains, NJ • On-site

Full-time

Re-posted 22 days ago


Job description

NAVA Software solutions is looking for a Sr. Python AI/ML Engineer
Details:
Sr. Python AI/ML Engineer
Location: Morris Plains, NJ - hybrid / 2 days in office
Duration: 6-12 months
We are seeking a highly skilled Senior Python Engineer with a strong background in AI/ML and GenAI to join our team.
  • The ideal candidate will have a deep understanding of natural language processing, machine learning, and prompt engineering, and will be able to apply their expertise to develop innovative solutions
  • Work on natural language processing and machine learning
  • Develop innovative solutions
  • Ability to work independently and as part of a team
  • Strong communication and interpersonal skills.

Required:
  • Strong proficiency in Python programming.
  • Experience with natural language processing libraries and frameworks (e.g., NLTK, spaCy, Transformers).
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
  • Deep understanding of prompt engineering principles, best practices, and RAG concepts.
  • Familiarity with OpenAI's language models (e.g., GPT-3, GPT-4).
  • Experience with DevOps practices and tools (Orchestrator, Splunk, Dynatrace etc.)
  • Knowledge of vector stores and RAG concepts.
  • Experience with cloud platforms AWS and OpenShift.
  • Experience with vector store libraries and frameworks.
  • Excellent problem-solving and analytical skills.
  • Ability to work independently and as part of a team.
  • Strong communication and interpersonal skills.

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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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