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Tensorflow Developer Jobs in New York (NOW HIRING)

ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, and LLM monitoring. Tools: Prompt Engineering, Workflow Design, and GenAI Optimization. Key ...

ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, and LLM monitoring. Tools: Prompt Engineering, Workflow Design, and GenAI Optimization. Key ...

Senior AI/ML Engineer

Fort Lee, NJ · On-site

$160K - $200K/yr

Engineer and refine prompts to enhance AI performance and output quality * Deploy and scale AI ... Develop, fine-tune, and optimize generative AI models using TensorFlow, PyTorch, or Hugging Face ...

As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and ... Strong proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or ...

Python Developer (Entry Level)

Paterson, NJ · On-site

$51.25 - $70.50/hr

Recent computer science/engineering/mathematics/statistics or science graduates or people looking ... NLP, Text mining, Tableau, PowerBI, TensorFlow If you get emails from our skill enhancement team ...

iSoftStone, Inc. is seeking an Associate AI Developer to join our Team In New York, NY, Seattle, WA ... Exposure to deep learning frameworks (PyTorch, TensorFlow), MLOps/observability (MLflow ...

iSoftStone , Inc. is seeking an A ssociate AI Developer to join our Team In New York, NY, Seattle ... Exposure to deep learning frameworks (PyTorch, TensorFlow), MLOps/observability (MLflow ...

iSoftStone, Inc. is seeking an Associate AI Developer to join our Team In New York, NY, Seattle, WA ... Exposure to deep learning frameworks (PyTorch, TensorFlow), MLOps/observability (MLflow ...

Description iSoftStone, Inc. is seeking an Associate AI Developer to join our Team In New York, NY ... Exposure to deep learning frameworks (PyTorch, TensorFlow), MLOps/observability (MLflow ...

Programming Skills: Expertise in Python and tools like Hugging Face, Langchain, and OpenAI API ... Experience with TensorFlow, Keras, and PyTorch. Cloud Platforms: Familiar with Google Model Garden ...

Expertise in building deep-learning models in PyTorch, JAX, or TensorFlow * Experience in programming in Python * Experience in computationally intensive research on very large data sets Nice to have:

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Tensorflow Developer information

See New York salary details

$20

$49

$110

How much do tensorflow developer jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for tensorflow developer in New York is $49.55, according to ZipRecruiter salary data. Most workers in this role earn between $25.77 and $59.95 per hour, depending on experience, location, and employer.

What are the typical daily tasks and responsibilities of a Tensorflow Developer?

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 is a TensorFlow Developer job?

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 are the key skills and qualifications needed to thrive in the Tensorflow Developer position, and why are they important?

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 are the most commonly searched types of Tensorflow Developer jobs in New York? The most popular types of Tensorflow Developer jobs in New York are:
Infographic showing various Tensorflow Developer job openings in New York as of June 2026, with employment types broken down into 87% Full Time, 1% Part Time, and 12% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $103,057 per year, or $49.5 per hour.
Sr Gen AI Engineer - NY/NJ

Sr Gen AI Engineer - NY/NJ

Photon

Manhattan, NY

Other

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago


Job description

Role Summary:
We are seeking a Generative AI Engineer to build, optimize, and scale production-ready AI applications. You will design complex multi-agent systems, implement advanced RAG pipelines, and manage the deployment of both frontier and local LLMs. The ideal candidate blends deep machine learning expertise with modern software engineering practices.

Technical Stack:

LLMs: Gemini, OpenAI, Claude, Llama, and Local Model deployment.

Frameworks: LangChain, LlamaIndex, and Hugging Face.

Orchestration: LangGraph and Multi-Agent Systems (MAS).

Development: Python, FastAPI, and Asynchronous Programming.

RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies.

ML/DL: PyTorch, TensorFlow, and Model Fine-tuning.

Deployment: Docker, Production API management, and LLM monitoring.

Tools: Prompt Engineering, Workflow Design, and GenAI Optimization.

Key Responsibilities:

Develop and orchestrate sophisticated AI workflows using LangGraph and multi-agent architectures.

Build and maintain Advanced RAG systems utilizing LlamaIndex and vector databases for high-accuracy retrieval.

Integrate and swap diverse LLMs (commercial and open-source) based on performance and cost requirements.

Design and deploy high-performance, scalable backend services using FastAPI and Async Python.

Fine-tune large language models (LLMs) using PyTorch/TensorFlow to improve domain-specific performance.

Optimize GenAI workflows for latency, cost, and reliability using advanced prompt engineering and monitoring tools.

Containerize and deploy AI services via Docker to production environments.

Required Qualifications:

Hands-on experience building and deploying GenAI applications in a production setting.

Strong proficiency in Python and the modern AI library ecosystem (LangChain, LlamaIndex, etc.).

Experience with vector search, embedding models, and advanced data retrieval patterns.

Knowledge of model fine-tuning techniques and local LLM quantization/hosting.

Familiarity with production-grade monitoring, API security, and CI/CD for ML.

Compensation, Benefits and Duration

Minimum Compensation: USD 40,000
Maximum Compensation: USD 141,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post