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Tensorflow Pytorch Jobs in Bronx, NY (NOW HIRING)

Saransh Inc

Agentic AI Developer

Jersey City, NJ · On-site

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.

Centstone

Senior GenAI Engineer

Jersey City, NJ · On-site

$60 - $70/hr

Proficiency in Python and Java (R preferred) with experience using TensorFlow, PyTorch, and Scikit-learn. * Experience deploying enterprise AI/ML solutions ,AWS, Azure, Google Cloud Platform (GCP)

Aismm

AI/ML Engineer

Manhattan, NY · On-site

$90 - $120/hr

Requirements Experience with Python, TensorFlow, PyTorch, and NLP . Strong background in data science and deep learning. Ability to process large datasets for AI training. #J-18808-Ljbffr

Jobtailor

Principal AI/ML Engineer

Manhattan, NY · On-site

$180 - $260/hr

Expertise in Python and ML frameworks including TensorFlow, PyTorch, JAX, and Hugging Face Transformers * Strong background in computer vision, NLP, generative AI, or reinforcement learning

1 point system

Senior Data Scientist

New York, NY · Remote

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 ...

Saransh Inc

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 ...

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

$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 ...

Atrosphere Technologies

Data Scientist

Manhattan, NY · On-site

$80 - $120/hr

Experience with machine learning frameworks (TensorFlow, PyTorch) * Strong statistical and analytical skills * Experience with cloud data platforms * Excellent communication and presentation skills ...

Cross River

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 ...

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 ...

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All JobsTensorflow Pytorch JobsTensorflow Pytorch Jobs in Bronx, NY

Tensorflow Pytorch information

See Bronx, NY salary details

$39.1K

$127.9K

$204.7K

How much do tensorflow pytorch jobs pay per year?

As of Aug 24, 2026, the average yearly pay for tensorflow pytorch in Bronx, NY is $127,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,600.00 and $141,700.00 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 are popular job titles related to Tensorflow Pytorch jobs in Bronx, NY?

For Tensorflow Pytorch jobs in Bronx, NY, the most frequently searched job titles are:

What job categories do people searching Tensorflow Pytorch jobs in Bronx, NY look for?

The top searched job categories for Tensorflow Pytorch jobs in Bronx, NY are:

What cities near Bronx, NY are hiring for Tensorflow Pytorch jobs?

Cities near Bronx, NY with the most Tensorflow Pytorch job openings:

Tensorflow Pytorch jobs near you
Infographic showing various Tensorflow Pytorch job openings in Bronx, NY as of June 2026, with employment types broken down into 1% Internship, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $127,864 per year, or $61.5 per hour.

ML Engineer

Virtusa Corporation

New York, NY • On-site

Contractor

Posted 14 days ago

Job description

"- Translate data science prototypes into production-grade ML services and pipelines.
- Build training and inference code with reproducibility, versioning, and automated testing.
- Implement scalable model serving (online/offline), batching, and latency/throughput optimization.
- Integrate model lifecycle tooling (tracking, registry, deployment automation, monitoring).
- Collaborate with Data Engineering on feature pipelines and data contracts.
- Own production health drift detection, performance regression, rollback strategies, and incident response."
"- 5+ years software engineering with 2+ years shipping ML models to production.
- Strong Python skills and experience with ML frameworks (TensorFlow/PyTorch).
- Experience with containers and orchestration (Docker/Kubernetes) and API development.
- Understanding of ML system design (data leakage, training-serving skew, drift).
- CI/CD and DevOps practices applied to ML workloads (MLOps)."
"- Experience with feature stores, model registries, and model monitoring stacks.
- GPU optimization and distributed training experience.
- Experience with responsible AI toolkits and compliance requirements."
Python, TensorFlow, PyTorch, Docker, REST APIs
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About Virtusa

Sourced by ZipRecruiter

We are builders, makers, and doers with the technical skills and domain expertise to transform your business at scale and speed without disruption. Our unique Engineering First approach blends deep industry expertise and empowered, agile teams, to create holistic solutions that seamlessly move the business forward. We help clients engage with new technology paradigms to creatively build solutions that drive them to the forefront of their industries.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Westborough, MA, US

Year founded

1996

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