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Tensorflow Pytorch Jobs in New York (NOW HIRING)

AI enabled chatbot Langchain TensorFlow Java PyTorch RASA Python AI Experience: 10-14 yrs Required Skills: • Proven experience in developing AI agents, chatbots, or conversational AI systems. • ...

Expertise in Python, SQL, and Spark, and a broad array of machine learning frameworks (Scikit-Learn, XGBoost, Tensorflow, PyTorch, MXNet, LLM, etc). * Experience in developing and deploying solutions ...

Lead AI/ML Developer

New York, NY · On-site

$64.50 - $84.50/hr

Proficiency in Python with experience using libraries such as TensorFlow, PyTorch, Scikit-learn, or Keras. * Strong understanding of machine learning algorithms, deep learning, and natural language ...

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 ...

Senior AI/ML Engineer

Fort Lee, NJ · On-site

$160K - $200K/yr

Develop, fine-tune, and optimize generative AI models using TensorFlow, PyTorch, or Hugging Face Requirements: * Work with current state of the art LLMs and embedding models * Experience building ...

Senior Data Lead

Roselle, NJ · On-site

$68.50 - $91.75/hr

Experience with scikit-learn and at least one deep learning framework such as TensorFlow, PyTorch, or Keras. * Hands-on experience delivering real-world data science and machine learning solutions.

Senior AI/ML Engineer

Fort Lee, NJ · On-site

$160K - $200K/yr

Develop, fine-tune, and optimize generative AI models using TensorFlow, PyTorch, or Hugging Face Requirements: * Work with current state of the art LLMs and embedding models * Experience building ...

Data Scientist

Rahway, NJ · On-site

$55 - $60/hr

Experience with scikit-learn and at least one deep learning framework such as TensorFlow, PyTorch, or Keras. * Hands-on experience delivering real-world data science and machine learning solutions.

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Tensorflow Pytorch information

What are the key skills and qualifications needed to thrive as a Deep Learning Engineer specializing in TensorFlow and PyTorch, and why are they important?

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.

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 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.

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 job categories do people searching Tensorflow Pytorch jobs in New York look for? The top searched job categories for Tensorflow Pytorch jobs in New York are:
What cities in New York are hiring for Tensorflow Pytorch jobs? Cities in New York with the most Tensorflow Pytorch job openings:

Agentic AI Developer

Saransh Inc

Jersey City, NJ • On-site

Contractor

Re-posted 22 days ago


Job description

Job Title: Agentic AI SME
Location: Jersey City, NJ (Onsite from Day 1)
Job Type: Contract
Job Summary:
As an AI Agent Developer, you will design, develop, and deploy intelligent AI agents that enhance client experience and operational efficiency.
You will collaborate across teams to build scalable AI solutions aligned with client's strategic pillars, focusing on innovation, resilience, and client obsession. Team Size of 15+
 
Skill Metrics:
 
AI enabled chatbot
Langchain
TensorFlow
Java
PyTorch
RASA
Python
AI

Experience: 10-14 yrs
Required Skills:
• Proven experience in developing AI agents, chatbots, or conversational AI systems.
• Proficiency in programming languages such as Python, Java, or similar.
• Experience with AI frameworks and platforms (e.g., MCP, LangChain, TensorFlow, PyTorch, Rasa, Dialogflow).