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Tensorflow Developer Jobs in New Jersey (NOW HIRING)

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 ... Familiarity with the financial services industry. * DevOps practices and Agile methodologies.

Thea Energy

Senior Plasma Control Engineer

Kearny, NJ

$120K - $160K/yr

Thea Energy is seeking a Sr. Plasma Control Engineer to develop and deploy novel plasma control ... Practical familiarity with modern ML tooling (PyTorch, TensorFlow, or JAX) and deploying models ...

Thea Energy

Senior Plasma Control Engineer

Kearny, NJ · On-site

$120K - $160K/yr

Thea Energy is seeking a Sr. Plasma Control Engineer to develop and deploy novel plasma control ... Practical familiarity with modern ML tooling (PyTorch, TensorFlow, or JAX) and deploying models ...

CYNET SYSTEMS

Gen AI Technical Lead

Raritan, NJ · On-site

$55 - $60/hr

TensorFlow. * PyTorch. * scikit-learn. * spaCy. * GCP. * Data Engineering. * DevOps. Qualification And Education: * 8+ years of hands-on technical experience in software engineering. * 3+ years of ...

Apptad, Inc.

AI Architect

Hoboken, NJ · On-site

Mastery of deep learning frameworks like PyTorch or TensorFlow , large language models ( LLMs ... Programming: Proficiency in core languages such as Python & Data Engineering Libraries and Java

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How much do tensorflow developer jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for tensorflow developer in New Jersey is $45.98, according to ZipRecruiter salary data. Most workers in this role earn between $23.89 and $55.62 per hour, depending on experience, location, and employer.

What is a TensorFlow developer?

A TensorFlow Developer is responsible for designing, building, and deploying machine learning models using TensorFlow, an open-source deep learning framework. They work with neural networks, data preprocessing, and optimization techniques to improve model performance. Their role often includes collaborating with data scientists and engineers to integrate models into applications, ensuring scalability and efficiency. TensorFlow Developers typically have expertise in Python, TensorFlow libraries, and deep learning concepts.

What does a TensorFlow developer do?

As a Tensorflow Developer, your daily tasks often include designing, coding, and refining machine learning models using Tensorflow, as well as preprocessing data and evaluating model performance. You may also be responsible for integrating models into production systems, troubleshooting issues, and collaborating closely with data scientists, engineers, and product teams. Staying updated with the latest developments in the machine learning ecosystem and optimizing solutions for scalability and efficiency are also common aspects of this role. By working on diverse projects, you'll have opportunities to deepen your understanding and broaden your expertise in different application areas.

What are the key skills and qualifications needed to thrive as a TensorFlow developer?

To thrive as a Tensorflow Developer, you need a solid understanding of machine learning and deep learning principles, strong Python programming skills, and practical experience with the Tensorflow framework. Familiarity with tools such as Tensorboard, Keras, and cloud-based ML platforms, as well as relevant certifications like TensorFlow Developer Certificate, is highly valued. Problem-solving ability, attention to detail, and effective teamwork and communication skills help set top candidates apart. These competencies enable developers to design, implement, and optimize machine learning models that address complex business challenges in a collaborative environment.

What is the salary of TensorFlow developer?

The salary of a TensorFlow developer varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Skilled developers with expertise in machine learning, deep learning, and Python can command higher salaries, especially in tech hubs or companies requiring advanced AI skills.

What are the most commonly searched types of Tensorflow Developer jobs in New Jersey?

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For Tensorflow Developer jobs in New Jersey, the most frequently searched job titles are:

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Tensorflow Developer jobs near you
Infographic showing various Tensorflow Developer job openings in New Jersey as of August 2026, with employment types broken down into 84% Full Time, 3% Part Time, and 13% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $95,635 per year, or $46 per hour.

Sr. GenAI Engineer

Inficare Technologies

Jersey City, NJ • On-site

$108K - $149K/yr

Contractor

Re-posted 24 days ago

Job description

Job Title: Sr. GenAI Engineer
Location: Jersey City, NJ (5 Days Onsite)
Job Type: 12+ Month Contract
Experience: 15+ years
Job Overview
Our client is seeking a highly skilled Senior GenAI Engineer with a strong focus on Generative AI and Agentic development. The ideal candidate will design, develop, and implement Gen AI applications and algorithms that enhance enterprise AI capabilities, while serving as a hands-on engineering leader across multiple workstreams.
Key Responsibilities
  • Design and develop scalable Gen AI and LLM/GenAI systems for complex business problems
  • Build, deploy, and operate production-grade ML and Generative AI services end-to-end
  • Build and institutionalize MLOps capabilities, including automated pipelines, monitoring, and model lifecycle management
  • Implement multi-modal RAG systems and Agentic AI architectures for enterprise solutions
  • Fine-tune and evaluate generative models (e.g., GPT-4.1) for NLP use cases, including summarization and text generation
  • Implement real-time model performance monitoring and optimization
  • Mentor and uplift junior engineers through design reviews, code reviews, and coaching
  • Communicate AI/ML capabilities and results to both technical and non-technical stakeholders
Required Skills
  • Strong knowledge of NLP, LLM app development, and Agentic Design
  • Experience developing multi-modal RAG systems for enterprise solutions
  • Proficiency in Python, R, or Java
  • Experience with TensorFlow, PyTorch, Scikit-learn, and OpenAI API
  • Cloud platforms: AWS, Azure, Google Cloud Platform, Snowflake, or Databricks
  • Containerization: Docker, Kubernetes; microservices architecture
  • Understanding of statistics, deep learning, GANs, VAEs, classification, regression, time series, reinforcement learning
  • Ability to design Agentic AI architecture, including context engineering and RAG
Preferred Skills
  • Expertise in RAG pipeline design and implementation.
  • Hands-on knowledge of Chain-of-Thought, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies.
  • Familiarity with the financial services industry.
  • DevOps practices and Agile methodologies.

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