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Tensorflow Developer Jobs in New York (NOW HIRING)

Adidev Technologies Inc

AI/ML Developer

Manhattan, NY · Remote

ML/AI Developer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not ... Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks ...

Abode Techzone LLC

AI Platform Engineer

Manhattan, NY

AI Platform Engineer Energy & Utility domain with experience in Google solutions. 1 level in-person ... Design and implement AI/ML infrastructure using Vertex AI, Kubeflow, TensorFlow Extended (TFX), and ...

Adidev Technologies Inc

AI/ML Developer

Manhattan, NY · On-site

ML/AI Developer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not ... Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks ...

Cross River

Senior AI/ML Engineer

Fort Lee, NJ · On-site

$106K - $146K/yr

... TensorFlow, PyTorch, or Hugging Face Qualifications : Required : • Minimum 5 years of experience in AI/ML development and data engineering • Proficiency in programming languages Python • Strong ...

Cross River

Senior AI/ML Engineer

Fort Lee, NJ · On-site

$106K - $146K/yr

... TensorFlow, PyTorch, or Hugging Face Qualifications : Required : • Work with current ... Engineer and refine prompts to enhance AI performance and output quality • Knowledge of ...

Photon

Sr Gen AI Engineer - NY/NJ

Manhattan, NY · On-site

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 ...

Photon

Sr Gen AI Engineer - NY/NJ

Manhattan, NY · On-site

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 ...

Damco

AI / ML Engineer

Brooklyn, NY · On-site

Strong programming skills in Python and experience with AI/Client frameworks such as TensorFlow, PyTorch, or similar. * Experience configuring and setting up Client platforms on Azure or Oracle from ...

Cross River

Senior AI/ML Engineer

Fort Lee, NJ

$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 ...

Attentive

Senior Machine Learning Engineer

New York, NY

$244K - $320K/yr

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 ...

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How much do tensorflow developer jobs pay per hour?

As of Jun 12, 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:
What are popular job titles related to Tensorflow Developer jobs in New York? For Tensorflow Developer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Tensorflow Developer jobs in New York look for? The top searched job categories for Tensorflow Developer jobs in New York are:
Tensorflow Developer jobs near you
Python Developer with Containers (GenAI)

Python Developer with Containers (GenAI)

Apex Informatics

Manhattan, NY • On-site

$55.25 - $76.25/hr

Contractor

Posted 22 days ago

Job description

Python Developer with Containers (GenAI)
Duration: 12-18 months
W2 Candidates only
Bryant Park New York New York 10038
(we have 2 roles 1 - Mid/Sr level and other is Lead)
Key Responsibilities:
o Collaborating with team and with partners in QSDG and Platform to define, build, test, and deploy platform meeting requirements.
o Defining & enforcing standards & best practices related to platform management.
o Evaluate third-party products to meet scalability, resiliency, and performance.
o Build new or leverage existing platforms (Lab, SDLC) by automating setup, installation, verification, monitoring & provisioning processes.
o Maintaining a central, version controlled, inventory of all environments, including their current versions and configuration settings.
o Planning & allocating environments to teams depending on their delivery lifecycle.
o Analyzing data to identify and proactively address environment-related issues.
o Working with project teams to manage costs & improve efficiency of environments.
o Partnering closely with Prod Support and Engineering to deploy & support applications.
Required Skills:
o Prior experience designing, implementing, and maintaining end to end environments, from POC to production.
o Deep understanding of hardware, software, network, data & application configuration.
o DevOps processes and CICD tooling (Jira, Git/Bitbucket, Jenkins, Datival, Artifactory, Ansible), orchestration & automation.
o Multi-tier (Python based) web application stack microservices/serverless/loosely coupled architecture.
o Mix of on-premises and cloud based, containerized (Docker/Kubernetes/OpenShift) deployment models.
o Familiarity with no-SQL (MongoDB) and relational (SQL Server/Oracle) databases, and other various forms of Object, Vector, and file stores.
o Unix scripting, SQL, work scheduling tools.
o Setting up infrastructure monitoring & reporting for GPU/CPU & memory consumption, inference latency and model performance.
o Performance profiling & optimization techniques to maximize performance & resource consumption / throughput and minimize latency.
o Load balancing, high availability & backup recovery strategies/techniques.
Non-Technical
o Ability to communicate effectively to a wide range of audience (business stakeholders, developer & support teams).
o Meticulous & highly organized.
o Adaptable to shifting & competing priorities.
o Skilled at delegating, mentoring & setting expectations.
o Critical thinking skills to diagnose & resolve complex issues.
Experience desired:
o Familiarity with AI & Deep learning, modeling techniques, Generative AI application stack.
o Proficiency in Python and familiarity with AI frameworks (TensorFlow/PyTorch).
o GPU cluster management (CUDA/Kubernetes), auto-scaling & scheduling (Triton Inference Server).
Qualifications:
o 7-10 years in similar roles. Preferably in the financial industry.
o Higher education in IT field or relevant previous work experience.

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