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Tensorflow Pytorch Jobs in Newark, NJ (NOW HIRING)

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 ...

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 ...

American Express

Senior Manager - Data Science

Manhattan, NY · On-site

$123K - $215K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Build and evaluate models using modern ML frameworks (e.g., TensorFlow, PyTorch), focusing on scalability, performance, and interpretability * People Leadership: Lead a team of high-performing data ...

Paramount

Principal Machine Learning Engineer

Manhattan, NY · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will use TensorFlow and PyTorch. The focus will be on modern personalization techniques. These techniques include representation learning. They also include multi-modal embeddings, contextual ...

Paramount

Principal Machine Learning Engineer

Manhattan, NY

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will use TensorFlow and PyTorch. The focus will be on modern personalization techniques. These techniques include representation learning. They also include multi-modal embeddings, contextual ...

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 ...

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All JobsTensorflow Pytorch JobsTensorflow Pytorch Jobs in Newark, NJ

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 Aug 17, 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 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.

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What job categories do people searching Tensorflow Pytorch jobs in Newark, NJ look for?

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

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Tensorflow Pytorch jobs near you

Solution Architect - Cloud Product

Hirekeyz Inc

Berkeley Heights, NJ • On-site

$66.25 - $90.75/hr

Full-time

Re-posted yesterday

Job description

Title: Solution Architect - Cloud Product

Location: Berkeley Heights, NJ;  Alpharetta, GA (5 Days Onsite)

Job Type: W-2/Full Time

Job Description:

Experience: 10 to 14 Years

  • 10+ years of experience in cloud architecture, with 4+ years with AI/ML solution design and implementation.
  • Deep hands-on expertise with AWS, GCP, an/or Azure, services, and tooling.
  • Strong experience with modern ML frameworks (TensorFlow, PyTorch, Hugging Face, etc.) and MLOps tools (Kubeflow, MLflow, Vertex AI Pipelines).
  • Proven record designing and deploying secure, enterprise-grade cloud applications.
  • Solid understanding of cloud security, data privacy, and compliance standards.
  • Exceptional communication skills; able to influence and educate technical and non-technical audiences alike.
  • Demonstrated experience leading cross-functional teams and mentoring.
  • Familiarity with AI/ML-related security techniques such as model auditing, explainability, LLM endpoint protection, and responsible AI frameworks.
  • What would be great to have:
    • Experience working with enterprise-scale financial services or other regulated industries.
    • Background in software engineering, DevSecOps, or AI security research.
    • Certifications: AWS Certified Machine Learning – Specialty, Google Cloud Professional ML Engineer, or security-focused credentials (e.g., CISSP, AWS Security Specialty).