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

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 ...

Point72

NLP Engineer

New York, NY · On-site

Extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch). * In-depth understanding of the architectures of modern language models, with practical experience in model ...

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 ...

Point72

NLP Engineer

New York, NY

Extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch). * In-depth understanding of the architectures of modern language models, with practical experience in model ...

Zealogics.com

AI Fullstack Developer

Montvale, NJ · On-site +1

$75 - $85/hr

Experience working with or integrating AI/ML models via Python, TensorFlow, PyTorch, or APIs (e.g., OpenAI, Hugging Face). * Familiarity with CI/CD pipelines, Git, and cloud services (AWS, GCP, or ...

Argyle Infotech

AI/ML Architect

Manhattan, NY · Hybrid

$70.25 - $90.50/hr

TensorFlow, PyTorch, scikit-learn. * Strong cloud architecture experience (AWS/GCP/Azure). * Hands-on with MLOps, CI/CD, model monitoring, and automated retraining. * Experience with big data tools ...

Inizio Partners

Machine Learning Engineer (GCP)

Manhattan, NY · Remote

$58.25 - $79.75/hr

Proficiency in Python and frameworks like TensorFlow, PyTorch, or Scikit-learn. * Knowledge of Kubernetes and containerization (Docker). * Experience with CI/CD tools such as Jenkins, CircleCI, or ...

Lancesoft

Cloud Data Developer/Engineer

Nutley, NJ · On-site

$60 - $70/hr

G., scikit-learn, TensorFlow, PyTorch). Experience with Databricks, including cluster usage and performance optimization;exposure to Unity Catalog and platform administration is a plus. AWS and/or ...

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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 Engineer (Hybrid)

Siritech Solutions Corp

Morris Plains, NJ

Full-time

Posted 18 days ago

Job description

Total Required Experience in Years: Minimum 10+ Years
Mode of Work: Hybrid (Local Candidates Only)
Job Description:Seeking an experienced AI/ML Engineer to design, develop, and optimize enterprise-grade Artificial Intelligence and Machine Learning solutions within healthcare environments. The ideal candidate should possess strong expertise in Python AI development, GPT/LLMs, machine learning frameworks, healthcare applications, and Generative AI technologies. This role requires building scalable and secure AI-driven healthcare solutions, designing enterprise-grade machine learning pipelines, integrating GPT-based models, and supporting ethical AI practices focused on privacy, fairness, and security. The candidate will collaborate within Agile teams to architect, develop, and deploy AI-powered applications, dashboards, APIs, and automation workflows that transform healthcare datasets into actionable business insights.

Key Responsibilities:

  • Design, build, and optimize scalable AI/ML solutions using GPT, LLMs, and machine learning technologies to solve healthcare-related business challenges
  • Develop enterprise-grade AI applications with strong focus on privacy, fairness, ethical AI, security, and compliance standards
  • Act as a Generative AI subject matter expert to architect and develop scalable, resilient AI solutions for enterprise healthcare applications
  • Design AI outputs using structured formats such as JSON, nested nodes, arrays, and HTML to support dashboard visualization and accelerated development cycles
  • Build extensible API integrations and low-code UI/UX-enabled AI solutions to integrate enterprise systems with GPT-based models and analytics workflows
  • Develop solutions that extract insights from multiple sources and present information in high-performing, intuitive dashboards
  • Translate business problems into AI-driven solution outcomes and actionable insights
  • Understand AI interpretation of datasets and develop effective prompt engineering strategies to generate expected business outcomes
  • Architect and develop distributed systems and scalable infrastructure supporting machine learning technologies and enterprise AI solutions
  • Develop, maintain, and optimize AI/ML pipelines including data preprocessing, feature extraction, model training, testing, and evaluation
  • Utilize machine learning frameworks such as TensorFlow, PyTorch, and open-source platforms like Hugging Face to deliver enterprise AI capabilities
  • Optimize generative AI models for performance, scalability, reliability, and operational efficiency


Additional Responsibilities:

  • Collaborate with product development, business, and technical teams within Agile environments
  • Support enterprise AI governance, responsible AI standards, and ethical deployment practices
  • Improve AI model performance through optimization, tuning, and experimentation initiatives
  • Support dashboard integrations, API orchestration, and scalable AI service deployments
  • Participate in continuous innovation and modernization of AI-driven healthcare systems


Required Skills:

  • Minimum 10 years of experience in software engineering, AI, machine learning, or related technical environments
  • Strong expertise in Python AI development, GPT, LLMs, and Generative AI technologies
  • Experience building healthcare-related AI/ML applications and enterprise healthcare solutions
  • Strong experience with TensorFlow, PyTorch, Hugging Face, and machine learning frameworks
  • Strong understanding of Natural Language Processing (NLP), generative models, and prompt engineering
  • Experience designing AI outputs in JSON, arrays, HTML, or structured formats for downstream systems and dashboards
  • Experience developing AI pipelines including preprocessing, feature engineering, model training, and evaluation
  • Strong API integration and scalable distributed system development experience
  • Strong analytical, problem-solving, and stakeholder collaboration skills
  • Experience building privacy-focused, secure, ethical, and responsible AI solutions


Qualifications:

  • Experience supporting healthcare environments and healthcare data-driven applications required
  • Strong expertise in Generative AI, GPT, and LLM-based enterprise solutions preferred
  • Experience working in Agile software development environments preferred
  • Local New Jersey candidates only required


Certifications:

  • AI/ML certification preferred
  • Python certification preferred
  • Cloud AI certification preferred