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Tensorflow Pytorch Jobs in Newark, NJ (NOW HIRING)

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 ...

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

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

Senior 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 ...

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 ...

Paramount

Machine Learning Engineer, Entry

Manhattan, NY · On-site

$124K - $186K/yr

Develop and serve models in GCP using TensorFlow/PyTorch, incorporating Post-training RL for reward-based optimization. * Collaborative Quality: Participate in design reviews to ensure your ...

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 ...

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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 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 are popular job titles related to Tensorflow Pytorch jobs in Newark, NJ?

For Tensorflow Pytorch jobs in Newark, NJ, the most frequently searched job titles are:

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

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

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

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

Tensorflow Pytorch jobs near you

Principal Solutions Architect - FSI

Data Direct Networks

New York, NY • On-site, Remote

Full-time

Re-posted 3 days ago

Job description

The DataDirect Networks Principal Solutions Architect role blends deep technical expertise with a strong consultative approach to helping customers build and scale AI, ML, and HPC solutions. This position plays a key role in connecting DDN's AI and data platform technologies to real customer business challenges - helping organizations improve performance, reduce latency, increase operational efficiency, and accelerate time-to-insight.
Core Responsibilities
  • Serve as a trusted advisor to customers by understanding their AI, data, and infrastructure challenges and recommending tailored solutions.
  • Design scalable AI and data architectures that support long-term growth, performance, and operational efficiency.
  • Partner closely with Sales, Engineering, Product, and Marketing teams to support customer engagements and influence strategy.
  • Lead technical presentations, demos, proof-of-concepts, and customer workshops throughout the sales cycle.
  • Support partner and alliance relationships across cloud providers, OEMs, integrators, and hyperscalers.
  • Deliver enablement and technical training to internal teams and external partners.
  • Stay current on AI, data infrastructure, and competitive market trends to effectively position DDN solutions.

What We're Looking For
  • Strong background in AI/ML infrastructure, data engineering, AI application development, or technical consulting.
  • Experience with modern AI technologies including LLMs, RAG, inference, neural networks, vector databases, and AI pipelines.
  • 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 stakeholders.
  • Experience supporting complex customer engagements in a pre-sales or solution consulting environment.
  • Strong presentation, relationship-building, and strategic problem-solving skills.

Preferred Background
  • Bachelor's degree in Computer Science, AI, Data Engineering, or a related field (or equivalent experience).
  • Experience working with cloud providers, strategic alliances, and partner ecosystems.
  • Background in technical sales engineering, AI consulting, or customer-facing architecture roles.
  • Understanding of AI infrastructure optimization, scalability, and data center performance considerations

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