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Tensorflow Pytorch Jobs in Randolph, NJ (NOW HIRING)

ClifyX

SAP AI Engineering Architect

Edison, NJ · On-site

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 ...

CYNET SYSTEMS

Gen AI Technical Lead

Raritan, NJ · On-site

$55 - $60/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Extensive experience in building and deploying ML models using TensorFlow, PyTorch, scikit-learn, and spaCy. * Hands-on experience in integrating ML models into GenAI applications. * Hands-on ...

New

Cynet Systems

Gen AI Technical Lead

Raritan, NJ · On-site

$55 - $60/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Extensive experience in building and deploying ML models using TensorFlow, PyTorch, scikit-learn, and spaCy. * Hands-on experience in integrating ML models into GenAI applications. * Hands-on ...

New

Noblesoft Technologies

Technical Lead(GenAI)

Raritan, NJ · On-site

Extensive experience in building and deploying ML models using TensorFlow, PyTorch, scikit-learn, and spaCy, with hands-on experience in integrating them into GenAI applications. Hands on experience ...

New

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 ...

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All JobsTensorflow Pytorch JobsTensorflow Pytorch Jobs in Randolph, NJ

Tensorflow Pytorch information

See Randolph, NJ salary details

$38.5K

$126.2K

$202K

How much do tensorflow pytorch jobs pay per year?

As of Aug 17, 2026, the average yearly pay for tensorflow pytorch in Randolph, NJ is $126,152.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,200.00 and $139,800.00 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?

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 Randolph, NJ are hiring for Tensorflow Pytorch jobs?

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

Tensorflow Pytorch jobs near you
Infographic showing various Tensorflow Pytorch job openings in Randolph, NJ as of June 2026, with employment types broken down into 1% Internship, 89% Full Time, 7% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $126,152 per year, or $60.6 per hour.

Java Full Stack Developer (Java, Angular, AI/ML)

IT Solutions

Bedminster, NJ • On-site

$53.50 - $69/hr

Other

Posted 10 days ago

Job description

Job Title: Java Full Stack Developer (Java, Angular, AI/ML)

Location: Hybrid/Onsite (USA)
Experience: 5 8+ Years
Employment Type: Contract

Job Summary

We are seeking a highly skilled AI/ML Java Full Stack Developer with strong hands-on coding expertise to build scalable enterprise applications integrated with AI/ML capabilities. The ideal candidate must have extensive experience in Java Full Stack Development, Angular (React experience will not be considered), SQL coding, and AI/ML frameworks. Candidates should be able to clear live coding interviews and demonstrate excellent problem-solving skills.

Mandatory Skills

  • Strong Core Java (Java 8/11/17+)
  • Spring Boot, Spring MVC, Microservices
  • Angular (Angular 12+ or above) Mandatory (No React)
  • Strong SQL Coding (Complex Queries, Stored Procedures, Joins, Performance Tuning)
  • AI/ML using Python, TensorFlow, PyTorch, Scikit-learn or similar
  • REST APIs
  • Hibernate/JPA
  • Git, Maven, Jenkins
  • Docker & Kubernetes (Preferred)
  • AWS/Azure (Preferred)

Required Qualifications

  • Bachelor's or Master's degree in Computer Science or related field.
  • Excellent Academic Record (Strong GPA is mandatory).
  • 1 2 Years of USA Client Experience is mandatory.
  • Strong understanding of Data Structures & Algorithms.
  • Excellent communication skills.
  • Ability to solve coding problems during technical interviews.

Responsibilities

  • Design and develop enterprise-grade Java Full Stack applications.
  • Build responsive front-end applications using Angular.
  • Develop AI/ML-enabled applications using TensorFlow, PyTorch, or Scikit-learn.
  • Design scalable REST APIs and Microservices.
  • Write optimized SQL queries, stored procedures, and database objects.
  • Participate in architecture discussions and code reviews.
  • Optimize application performance.
  • Write unit and integration tests.
  • Collaborate with cross-functional teams using Agile methodologies.

Apply