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

Sr. GenAI Engineer

Jersey City, NJ · On-site

$108K - $149K/yr

Experience with TensorFlow, PyTorch, Scikit-learn, and OpenAI API * Cloud platforms: AWS, Azure, Google Cloud Platform, Snowflake, or Databricks * Containerization: Docker, Kubernetes; microservices ...

Experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch). * Solid understanding of machine learning algorithms and data structures. * Ability to work with large datasets and cloud ...

Experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch). * Solid understanding of machine learning algorithms and data structures. * Ability to work with large datasets and cloud ...

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 ...

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 ...

Experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch). * Solid understanding of machine learning algorithms and data structures. * Ability to work with large datasets and cloud ...

Proficiency in TensorFlow/PyTorch. * Knowledge with Vector DBs. * Proven ability to implement features that solve the "Cold Start" problem for new users. * Experience managing, tracking, and ...

New

Site Reliability Engineer

Secaucus, NJ · On-site

$57.75 - $76.75/hr

Python/R and ML libraries (scikit-learn, TensorFlow, PyTorch), Data analysis and visualization (Pandas, NumPy, Power BI/Tableau), SQL and database management Key Responsibilities • Monitor ...

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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 Aug 17, 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 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 job categories do people searching Tensorflow Pytorch jobs in Ridgefield Park, NJ look for?

The top searched job categories for Tensorflow Pytorch jobs in Ridgefield Park, NJ are:

What cities near Ridgefield Park, NJ are hiring for Tensorflow Pytorch jobs?

Cities near Ridgefield Park, NJ with the most Tensorflow Pytorch job openings:

Infographic showing various Tensorflow Pytorch job openings in Ridgefield Park, NJ as of August 2026, with employment types broken down into 1% Internship, 89% Full Time, 5% Part Time, and 5% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $131,718 per year, or $63.3 per hour.

AI Solution Architect

Virtusa Corporation

New York, NY • On-site

Contractor

Posted 7 days ago


Job description

AI Lead
Role Overview
Virtusa AI Labs is seeking an AI Solution Lead who can design, build, and operationalize next-generation AI applications that deliver measurable business impact. This client-facing role blends AI and solution development to help enterprises move from AI experimentation to large-scale adoption.
As part of a high-impact, client-embedded engineering team, you will help transform business requirements into production-grade AI systems, spanning GenAI applications, predictive modeling, and agentic AI systems. You'll work alongside Virtusa's data, product, and cloud experts to bring cutting-edge AI research into the enterprise world responsibly and at scale.
If you thrive at the intersection of AI innovation, solution architecture, and business value creation, this is your opportunity to help shape the future of applied AI.
Key Responsibilities
1⃣ Solution Design & Development
  • Collaborate with client and internal teams to design end-to-end AI solutions using modern architectures and best practices.
  • Translate business problems into deployable systems using techniques like retrieval-augmented generation (RAG), multi-agent orchestration, and hybrid reasoning pipelines.

2⃣ Full-Cycle AI Engineering
  • Own the full AI lifecycle - from data ingestion and preparation through model integration, solution evaluation, and production deployment.
  • Apply MLOps, LLMOps, and FMOps principles to automate workflows, manage versions, and ensure robust, repeatable deployments.

Experience and Skills
  • Experience: Overall 10+ years with 4+ years of experience in a solution architect, or technical consulting role within the AI/ML domain.
  • 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
  • Communication: Exceptional verbal and written communication skills with the ability to present complex ideas clearly and persuasively.

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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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