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Tensorflow Pytorch Jobs in Ridgefield Park, NJ (NOW HIRING)

DeepMagic

Software Engineer

Manhattan, NY

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 ...

DeepMagic

Software Engineer

Manhattan, NY · On-site

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 ...

Virtusa Corporation

AI/ML Engineer

New York, NY · On-site

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 ...

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 ...

Virtusa Corporation

Architect (ATC)

New York, NY · On-site

$69 - $90.75/hr

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 ...

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All JobsTensorflow Pytorch JobsTensorflow Pytorch Jobs in Ridgefield Park, NJ

Tensorflow Pytorch information

See Ridgefield Park, NJ salary details

$40.2K

$131.7K

$210.9K

How much do tensorflow pytorch jobs pay per year?

As of Aug 17, 2026, the average yearly pay for tensorflow pytorch in Ridgefield Park, NJ is $131,718.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,700.00 and $146,000.00 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 job categories do people searching Tensorflow Pytorch jobs in Ridgefield Park, NJ look for?

The top searched job categories for Tensorflow Pytorch jobs in Ridgefield Park, NJ are:

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

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

Tensorflow Pytorch jobs near you
Infographic showing various Tensorflow Pytorch job openings in Ridgefield Park, NJ as of August 2026, with employment types broken down into 1% Internship, 89% Full Time, 5% Part Time, and 5% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $131,718 per year, or $63.3 per hour.

Python Developer with GenAI Experience - NYC, NY - Contract opportunity(c2c/W2)

Zodiac Solutions

New York, NY • On-site

$55 - $75.75/hr

Contractor

Re-posted 24 days ago

Job description

Role: Python Developer with GenAI Experience

Location: NYC, NY

Duration: Long term contract

Final interview will be face to face

Key Responsibilities:

  • Develop, optimize, and deploy Python-based AI and machine learning models, particularly focusing on Generative AI (e.g., GPT, DALL-E, etc.).
  • Collaborate with data scientists, researchers, and product teams to translate business requirements into AI solutions.
  • Fine-tune and customize pre-trained GenAI models for specific use cases.
  • Implement APIs and integrate GenAI capabilities into existing platforms and applications.
  • Build scalable, robust, and maintainable AI pipelines and workflows.
  • Ensure the quality, security, and performance of AI applications.
  • Stay updated with the latest advancements in Generative AI and incorporate best practices.
  • Document development processes, models, and workflows.

Required Skills and Qualifications:

  • Strong proficiency in Python programming.
  • Hands-on experience working with Generative AI models (e.g., GPT, BERT, DALL-E, etc.).
  • Experience with deep learning frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.
  • Solid understanding of NLP, Computer Vision, or related AI domains.
  • Familiarity with cloud platforms like AWS, Azure, or GCP for deploying AI models.
  • Knowledge of data preprocessing, model validation, and evaluation techniques.
  • Strong problem-solving skills and ability to work in a fast-paced environment.
 
Thanks,
Sanjay Kumar
sanjay.kumar@zodiac-solutions.com