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Tensorflow Pytorch Jobs in Rahway, 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 Inc.

Software Engineer

New York, 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 ...

Triunity Software, Inc.

AI Engineer

Manhattan, NY · On-site

$120 - $160/hr

Proficiency in Python and AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn * Experience with NLP, computer vision, or generative AI is a strong plus * Familiarity with cloud platforms ...

ShiftCode Analytics, Inc.

AI/ML Engineer

Brooklyn, NY · On-site

... TensorFlow, PyTorch, or similar. • Hands-on experience with MLOps, including model training, validation, deployment, and ongoing monitoring. • Proven ability to integrate AI/ML models into ...

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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

Gen AI Architect

Global IT Investors Inc dba TechnoVal Alliance

Jersey City, NJ • On-site

Contractor

Re-posted 6 days ago

Job description

Job Title: Gen AI Architect 

Job Location: New Jersey - Oniste

Duration: Long Term Duration

 
Demonstrate advanced programming expertise, particularly in Python, with deep proficiency in AI-centric libraries such as TensorFlow, PyTorch, and Hugging Face Transformers.
Architect and implement Retrieval-Augmented Generation (RAG) pipelines to enhance model performance using external knowledge sources, including document chunking, embedding generation, and retrieval systems.
Design, develop, and deploy Custom AI agents capable of autonomous decision-making and task execution using LLMs and multi-modal models.
Implement and manipulate complex algorithms essential for developing and optimizing generative AI models.
Manage data pipelines involving data pre-processing, augmentation, and synthetic data generation to enhance model training and performance.
Ensure robust data handling practices including cleaning, labeling, and structuring datasets for generative AI workflows.
Design MS Copilot Studio Agent Builder advanced skills, including custom plugin development, adaptive orchestration of multiple AI skills and APIs, contextual memory management, dynamic prompt engineering, and secure data handling.
Agent Orchestration: Build multi-turn agents that adapt and chain AI skills and APIs.
Trigger Management: Configure message, data, scheduled, and webhook triggers.
Automation Workflow: Design workflows with Power Automate for task automation.
Flow Design: Create logical, scalable flows for complex business processes.
Tool Integration: Use Copilot’s built-in connectors to integrate enterprise apps and services seamlessly.
 
Required Qualifications:
Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field.
8+ years of experience in AI/ML engineering, with at least 1 year focused on Generative AI.
Hands-on experience with RAG architectures, including document chunking, embedding generation, and retrieval systems.
Proficiency in Python and familiarity with libraries such as Hugging Face, Transformers, OpenAI API, and PyTorch/TensorFlow.
Experience with Agentic AI frameworks (LangGraph, OpenAI SDK, AutoGen, CrewAI) and building agent accelerators using platforms like Copilot Studio or AWS Bedrock AgentsCore
Strong understanding of LLM capabilities, limitations, and prompt engineering techniques.
Experience with cloud platforms and containerization (Docker, Kubernetes).
Preferred Qualifications:
Experience with fine-tuning LLMs or training custom models.
Familiarity with multi-modal AI (text, image, audio).
Contributions to open-source GenAI projects or publications in AI conferences.