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Tensorflow Pytorch Jobs in Ridgefield Park, NJ (NOW HIRING)

United IT

AI/ML Architect

Tarrytown, NY · Hybrid

Collaborate with data scientists and engineers to optimize model performance using TensorFlow, PyTorch, and Hugging Face. * Manage cloud-native microservices using Python, FastAPI, and container ...

United IT Solutions

AI/ML Architect

Tarrytown, NY · Hybrid

Collaborate with data scientists and engineers to optimize model performance using TensorFlow, PyTorch, and Hugging Face. * Manage cloud-native microservices using Python, FastAPI, and container ...

Okaya Corp.

Java Developer

Manhattan, NY · On-site +1

$60/hr

Experience with AI frameworks like TensorFlow, PyTorch, or MLflow. * Knowledge of Natural Language Processing (NLP) and predictive analytics in banking. * Familiarity with risk management, fraud ...

Pivotal Solutions

Senior AI Engineer

Manhattan, NY · On-site

$115K - $158K/yr

Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or similar. Expertise in generative models, neural networks, and reinforcement learning. Advanced degree (Ph.D. or equivalent) in ...

Paramount

Machine Learning Engineer, Entry

Manhattan, NY · On-site

$130K - $195K/yr

Develop and serve models in GCP using TensorFlow/PyTorch, incorporating Post-training RL for reward-based optimization. * Collaborative Quality: Participate in design reviews to ensure your ...

Paramount

Machine Learning Engineer, Entry

Manhattan, NY · On-site

$130K - $195K/yr

Develop and serve models in GCP using TensorFlow/PyTorch, incorporating Post-training RL for reward-based optimization. * Collaborative Quality: Participate in design reviews to ensure your ...

Okaya Corp.

Java Developer

Manhattan, NY · On-site +1

$60/hr

Experience with AI frameworks like TensorFlow, PyTorch, or MLflow. * Knowledge of Natural Language Processing (NLP) and predictive analytics in banking. * Familiarity with risk management, fraud ...

Virtusa

AI Solution Lead

Jersey City, NJ · Hybrid

Technical Acumen: Solid understanding of AI/ML concepts, frameworks (e.g., TensorFlow, PyTorch), and cloud platforms (e.g., AWS, Azure, GCP). Hands-on experience with LLMs and agentic AI

SoHo Dragon

Senior AI/ML Engineer

Manhattan, NY · Hybrid

$115K - $157K/yr

Experience in developing and deploying AI/ML and deep learning solutions with libraries and frameworks, such as TensorFlow, PyTorch, Scikit-learn, OpenCV and/or Keras. * Knowledge of math ...

SoHo Dragon

Senior AI/ML Engineer

Manhattan, NY · On-site

$115K - $157K/yr

Experience in developing and deploying AI/ML and deep learning solutions with libraries and frameworks, such as TensorFlow, PyTorch, Scikit-learn, OpenCV and/or Keras. * Knowledge of math ...

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All JobsTensorflow Pytorch JobsTensorflow Pytorch Jobs in Ridgefield Park, NJ

Tensorflow Pytorch information

See Ridgefield Park, NJ salary details

$40.2K

$131.7K

$210.9K

How much do tensorflow pytorch jobs pay per year?

As of Jun 20, 2026, the average yearly pay for tensorflow pytorch in Ridgefield Park, NJ is $131,718.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,700.00 and $146,000.00 per year, depending on experience, location, and employer.

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 cities near Ridgefield Park, NJ are hiring for Tensorflow Pytorch jobs? Cities near Ridgefield Park, NJ with the most Tensorflow Pytorch job openings:
Tensorflow Pytorch jobs near you

AI/ML Architect

United IT

Tarrytown, NY • Hybrid

Other

Posted 14 days ago

Job description

AI/ML Architect

Location: Tarrytown NY 10591 (Onsite)

Key Responsibilities:

Generative AI & LLMs

  • Architect and implement transformer-based generative models tailored for biomedical data, optimizing training pipelines for domain-specific nuances.
  • Compare and evaluate generative models (GANs, VAEs, Diffusion Models) for synthetic medical image generation, selecting the most suitable based on use case.
  • Design scalable GenAI systems for generating synthetic patient records with built-in HIPAA compliance and data anonymization.
  • Fine-tune pre-trained LLMs for domain-specific applications such as drug discovery, clinical trial summarization, and medical literature analysis.
  • Develop strategies to mitigate hallucinations in LLMs, especially for clinical decision support systems.

System Architecture & Integration

  • Design GenAI-powered platforms that integrate seamlessly with existing EHR systems, supporting real-time inference and secure data exchange.
  • Define and implement APIs for GenAI services optimized for multi-cloud and hybrid environments, ensuring scalability and interoperability.
  • Ensure robust model versioning, traceability, and reproducibility in compliance with regulatory standards.

MLOps & Deployment

  • Lead the development of CI/CD pipelines and MLOps workflows for model training, evaluation, and deployment.
  • Collaborate with data scientists and engineers to optimize model performance using TensorFlow, PyTorch, and Hugging Face.
  • Manage cloud-native microservices using Python, FastAPI, and container orchestration tools (e.g., Kubernetes).
Required Skills & Qualifications:
  • Strong foundation in AI/ML, deep learning, and GenAI architectures.
  • Hands-on experience with LLMs, RAG systems, LangChain, LangGraph, and vector databases.
  • Proficiency in Python, FastAPI, and cloud platforms (AWS, Azure, GCP).
  • Experience with MLOps tools and practices (MLflow, Kubeflow, CI/CD).
  • Deep understanding of healthcare data standards (FHIR, HL7) and compliance frameworks (HIPAA, GDPR).
  • Excellent communication and leadership skills.

Apply