ZipRecruiter

Log In

1

Tensorflow Pytorch Jobs in Bedminster, NJ (NOW HIRING)

Lincoln Tech

Lead AI Engineer-Machine Learning

Parsippany, NJ · On-site

$103K - $135K/yr

Deep hands-on experience with TensorFlow, PyTorch, Scikit-Learn, or Spark MLlib * Experience with cloud platforms (AWS, Azure, or GCP) and their AI/ML services * Hands-on experience with CI/CD ...

Intac Solution

Network Tester

Berkeley Heights, NJ

$34 - $36/hr

Proficiency in AI/ML platforms and APIs (e.g., OpenAI, TensorFlow, PyTorch, Hugging Face, Azure AI Studio). * Travel required (30%). Requirements and Qualifications * Requires between 3-5 years ...

Saim Technologies

Sr. Data Scientist

Raritan, NJ · On-site

Key Responsibilities 1. Design And Implement Advanced Machine Learning Algorithms Using Tensorflow And Pytorch To Extract Insights From Large Datasets, Delivering Customized Analytical Reports ...

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 ...

Prudential

Lead, Machine Learning Engineer

Newark, NJ · On-site

ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP ...

previous pagenext page

Showing results 21-40

All JobsTensorflow Pytorch JobsTensorflow Pytorch Jobs in Bedminster, NJ

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 Sep 6, 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 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 Bedminster, NJ are hiring for Tensorflow Pytorch jobs?

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

Tensorflow Pytorch jobs near you
Infographic showing various Tensorflow Pytorch job openings in Bedminster, NJ as of August 2026, with employment types broken down into 1% Internship, 88% Full Time, 6% Part Time, and 5% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $125,217 per year, or $60.2 per hour.

Sr Gen AI Architect/LLM - Onsite

The Dignify Solutions, LLC

Raritan, NJ • On-site

$132K - $180K/yr

Full-time

Re-posted 23 days ago

Job description

Job Summary:
The Dignify Solutions, LLC is seeking a Senior Generative AI Architect/LLM to join their team onsite in Raritan, NJ. This role involves developing and implementing Generative AI models, with a strong emphasis on project management and governance, particularly in the life sciences sector.
Qualifications:
Required:
• Bachelor/Master degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field with 15+ years of experience
• 2+ years of experience in developing and implementing Generative AI models, with a strong understanding of techniques such as GPT, T5 and BERT
• Proficiency in Python and have 8+ years of experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras
• Strong knowledge of data structures, algorithms, and software engineering principles
• Familiarity with cloud-based platforms and services, such as AWS, GCP, or Azure
• 8+ years of experience with advanced natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face
• Familiarity with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly
• Significant experience architecting cutting-edge MLOps systems in enterprise environments
• Knowledge of software development methodologies, such as Agile or Scrum
• Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions.
• Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience
• Proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Able to execute thought leadership.
Preferred:
• Project management and governance experience preferred. Candidates with Technical and management skills given stronger preference.
• Life sciences experience preferred.
• Experience with handling customers at SLT and VP level.
Company:
The Dignify Solutions with Global Capabilities and Local Excellence – has combined experience of 30 +years in Client Services/ Engagement/ Relationship/ Partnership, Sales/ Account Management, Service Delivery, Recruiting, Staffing and Talent Acquisition for the whole gamut of skillsets in Information Technology (Digital Transformation, Artificial Intelligence, Machine Learning and other business domains). Founded in , the company is headquartered in San Francisco, USA, with a team of 51-200 employees. The company is currently Growth Stage.
Dignify Solutions logo

About Dignify Solutions

Sourced by ZipRecruiter

The Dignify Best Serves To Its Clients By Adhering To And Executing Superior Processes. The company is dedicated to operational excellence as part of a client-centric mindset that assures consistent execution. The Dignify has developed and refined every step in the full lifecycle staffing fulfillment and consultant management practice

Industry

It services

Company size

51 - 200 Employees

Headquarters location

San Francisco, CA, US

View All Dignify Solutions Jobs

Apply