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Tensorflow Pytorch Jobs in Whippany, NJ (NOW HIRING)

Virtusa

AI Architect

New York, NY · On-site

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 ...

Virtusa Corporation

Data Scientist AIML

New York, NY · On-site

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

Pivotal Solutions

Senior AI Engineer

Manhattan, NY · On-site

$115K - $158K/yr

Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or similar. Expertise in generative models, neural networks, and reinforcement learning. Advanced degree (Ph.D. or equivalent) in ...

Inficare Technologies

Sr. GenAI Engineer

Jersey City, NJ · On-site

$108K - $149K/yr

Experience with TensorFlow, PyTorch, Scikit-learn, and OpenAI API * Cloud platforms: AWS, Azure, Google Cloud Platform, Snowflake, or Databricks * Containerization: Docker, Kubernetes; microservices ...

Virtusa Corporation

Systems Architect

New York, NY · On-site

$265K/yr

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 ...

Virtusa Corporation

AI Architect

New York, NY · On-site

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 ...

Accord Technologies Inc.

Gen AI Architect

New York, NY · On-site

$69 - $90.75/hr

Experience with AI/ML tools and frameworks such as TensorFlow, PyTorch, Hugging Face, LangChain, LangGraph, or similar. * Deep understanding of data workflows, feature engineering, model training ...

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All JobsTensorflow Pytorch JobsTensorflow Pytorch Jobs in Whippany, NJ

Tensorflow Pytorch information

See Whippany, NJ salary details

$37.7K

$123.4K

$197.6K

How much do tensorflow pytorch jobs pay per year?

As of Sep 6, 2026, the average yearly pay for tensorflow pytorch in Whippany, NJ is $123,445.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,100.00 and $136,800.00 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 Whippany, NJ are hiring for Tensorflow Pytorch jobs?

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

Tensorflow Pytorch jobs near you
Infographic showing various Tensorflow Pytorch job openings in Whippany, NJ as of June 2026, with employment types broken down into 1% Internship, 93% Full Time, 4% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $123,445 per year, or $59.3 per hour.

Senior · Staff · Principal Machine Learning Engineer

Lead Allies Inc.

New York, NY • On-site

$137K - $189K/yr

Full-time

Re-posted 21 days ago

Job description

Senior / Staff / Principal Machine Learning Engineer
Location: Onsite New York (5 days onsite AND hybrid options)
We have multiple startups interested in talent. Here is a generic summary. Instead of a perfect job description, we present talented individuals to companies and allow them to share how that talent fits in the organization.
Key Responsibilities:
  • Model Development:
    Designing and implementing ML algorithms and models, including deep learning models.
  • Data Handling:
    Preprocessing, analyzing, and preparing large datasets for model training and evaluation.
  • System Integration:
    Collaborating with software engineers to integrate ML models into production systems.
  • Performance Optimization:
    Continuously improving and optimizing ML models for accuracy, efficiency, and scalability.
  • Monitoring and Maintenance:
    Monitoring model performance in production, troubleshooting issues, and ensuring model reliability.
  • Staying Updated:
    Keeping abreast of the latest advancements in ML, AI, and related technologies.
  • Collaboration:
    Working with data scientists, software engineers, and other stakeholders to deliver effective ML solutions.

Essential Skills:
  • Programming Languages: Strong proficiency in Python, R, or other relevant languages.
  • ML Frameworks: Experience with frameworks like TensorFlow, PyTorch, or scikit-learn.
  • Data Science Fundamentals: Solid understanding of statistical analysis, data modeling, and machine learning algorithms.
  • Problem-Solving: Excellent analytical and problem-solving skills to address complex challenges.
  • Communication: Effective communication skills to convey technical information to both technical and non-technical audiences.
  • Collaboration: Ability to work effectively in a team environment.

Education and Experience:
  • A bachelor's or master's degree in computer science, engineering, mathematics, statistics, or a related field is typically required.
  • Several years of experience in machine learning, data science, or software development is often preferred.

Compensation: Market range and can include equity - details can be provided after the specific client is determined.

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