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Tensorflow Pytorch Jobs in Red Bank, NJ (NOW HIRING)

Gen AI Architect

New York, NY ยท 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 ...

Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging Face. * Strong analytical and problem-solving skills with a keen eye for detail. * Excellent ...

Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging Face. * Strong analytical and problem-solving skills with a keen eye for detail. * Excellent ...

AI Technical Product Manager

New York, NY

$182K - $211K/yr

Design and co-develop working prototypes and production-ready components using leading AI/ML tools and platforms (e.g., Python, TensorFlow, PyTorch, Hugging Face, LangChain, Azure AI, OpenAI)

AI Technical Product Manager

New York, NY ยท On-site

$182K - $211K/yr

Design and co-develop working prototypes and production-ready components using leading AI/ML tools and platforms (e.g., Python, TensorFlow, PyTorch, Hugging Face, LangChain, Azure AI, OpenAI)

AI Technical Product Manager

New York, NY

$182K - $211K/yr

Design and co-develop working prototypes and production-ready components using leading AI/ML tools and platforms (e.g., Python, TensorFlow, PyTorch, Hugging Face, LangChain, Azure AI, OpenAI)

Senior Machine Learning Engineer

New York, NY ยท On-site

$114K - $157K/yr

Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar. * A track record of delivering high-impact projects to compete in a fast-paced environment. Ways to stand out from ...

The ideal candidate has strong expertise in machine learning systems, data pipelines, and distributed computing, along with hands-on experience in Python and frameworks such as PyTorch, TensorFlow ...

Showing results 21-40

Tensorflow Pytorch information

See Red Bank, NJ salary details

$38.5K

$126K

$201.7K

How much do tensorflow pytorch jobs pay per year?

As of Aug 17, 2026, the average yearly pay for tensorflow pytorch in Red Bank, NJ is $125,958.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,100.00 and $139,600.00 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 job categories do people searching Tensorflow Pytorch jobs in Red Bank, NJ look for?

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

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

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

Infographic showing various Tensorflow Pytorch job openings in Red Bank, NJ as of June 2026, with employment types broken down into 1% Internship, 86% Full Time, 7% Part Time, and 6% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $125,958 per year, or $60.6 per hour.

Gen AI Architect

Accord Technologies Inc.

New York, NY โ€ข On-site

$69 - $90.75/hr

Contractor

Re-posted 28 days ago


Job description

Role: Gen AI Architect
Location: New York city, NY
Position type: W2 contract

The Role

Responsibilities:

  • Define and drive the AI/ML architecture and roadmap, including both traditional machine learning and Generative AI (GenAI) use cases.
  • Design comprehensive end-to-end AI solutions covering data ingestion, feature engineering, model training, inference pipelines, and monitoring frameworks.
  • Lead the integration of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) frameworks, utilizing tools such as LangChain, LangGraph, or similar.
  • Collaborate with business stakeholders to translate requirements into scalable AI-driven technical solutions.
  • Evaluate and select appropriate AI/ML tools, cloud services, frameworks, and libraries based on use case needs and industry best practices.
  • Ensure models adhere to governance, security, explainability, and regulatory compliance, embedding ethical AI principles into system design.
  • Guide engineering teams in the implementation of AI components, emphasizing scalability, reliability, and performance optimization.
  • Partner with DevOps teams to establish CI/CD pipelines for AI, including model versioning, deployment automation, and ongoing A/B testing.
  • Keep abreast of the latest industry research, breakthroughs, and emerging trends in AI, recommending adoption of best practices and innovative solutions.

Requirements:

  • Proven experience 10+ years, excel in leading AI/ML architecture and strategy in enterprise environments.
  • Strong expertise in designing and deploying large-scale AI/ML solutions, including LLMs and RAG frameworks.
  • 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, evaluation, and deployment.
  • Knowledge of cloud platforms (AWS, Azure, GCP) and services tailored for AI deployment.
  • Familiarity with model governance, security, explainability, and ethical AI standards.
  • Experience in developing CI/CD pipelines for AI/ML, including model versioning, monitoring, and performance tuning.
  • Strong problem-solving, communication, and stakeholder management skills.

Preferred, but not required:

  • Advanced degree (Ph.D., Master’s) in Computer Science, Data Science, AI, or related fields.
  • Publications or practical contributions to AI research and open-source projects.
  • Experience working in regulated industries or environments requiring compliance and governance.
  • Familiar with project management and Agile practices.