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Tensorflow Pytorch Jobs in Rahway, NJ (NOW HIRING)

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 ...

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 ...

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 ...

Sbhonline

Developer/Engineer

Manhattan, NY · On-site

$100 - $130/hr

Deep experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit‑Learn * Strong hands‑on experience with cloud platforms including AWS, Google Cloud Platform (GCP), or ...

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 ...

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All JobsTensorflow Pytorch JobsTensorflow Pytorch Jobs in Rahway, NJ

Tensorflow Pytorch information

See Rahway, NJ salary details

$38.1K

$124.6K

$199.5K

How much do tensorflow pytorch jobs pay per year?

As of Sep 6, 2026, the average yearly pay for tensorflow pytorch in Rahway, NJ is $124,607.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $138,100.00 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 Rahway, NJ are hiring for Tensorflow Pytorch jobs?

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

Tensorflow Pytorch jobs near you

Natural Language Processing and Large Language Models Developer - eFinancialCareers

eFinancialCareers

Manhattan, NY • On-site

Full-time

Re-posted 21 days ago

Job description

Join a dynamic team of innovative scientists, technologists, and scholars dedicated to transcending conventional methods. We aim to address intricate economic challenges and improve on alpha using the cutting-edge techniques of Natural Language Processing and Large Language Models

Position Overview:

Looking for visionary NLP and LLM focused scientists to harness the power of language to decode complex financial problems and manage vast volumes of textual data.

Key Responsibilities:

  1. Develop, and transition from concept to a functional prototype and final NLP or LLM product.
  2. Immerse yourself in a research-oriented environment, where you'll craft code, experiment with advanced NLP and LLM tools, and refine techniques to extract insights from financial narratives.
  3. Collaborate closely with various teams within our organization to seamlessly integrate your linguistic intelligence solutions into our products.
  4. Stay connected to the broader linguistic research community by fostering partnerships both internally and externally, and making a mark at relevant conferences.

Qualifications & Experience:

  1. Earned an advanced degree in Computer Science, Linguistics, Engineering, or another relevant field with an emphasis on NLP and LLM.
  2. Strong programming proficiency in languages such as Python, C++, Tensorflow, PyTorch, or similar.
  3. Past roles or internships centered around NLP, LLM, or related linguistic computational models.
  4. A foundation in language models, especially concerning extensive and multifaceted textual datasets, and an interest in applying these to financial challenges.
  5. Credible research contributions, preferably with publications in esteemed platforms focused on NLP or LLM such as ACL, EMNLP, or similar.
  6. Familiarity with cloud ecosystems and managing multi-machine configurations.
  7. Active involvement in the open-source linguistic community.

Apply