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Tensorflow Pytorch Jobs in Somerset, NJ (NOW HIRING)

Virtusa Corporation

AI/ML Engineer

New York, NY · On-site

Strong proficiency in Python, R, SQL, and ML/DL frameworks (TensorFlow, PyTorch). Hands-on experience with LLMs, Generative AI, NLP, and MLOps tools. Expertise in time-series modeling, predictive ...

Virtusa Corporation

Data Scientist AIML

New York, NY · On-site

... TensorFlow PyTorch XGBoost or equivalent Knowledge of data visualization and analytical storytelling Strong problem solving and communication skills Preferred Qualifications Experience with ...

Virtusa

AI Architect

New York, NY · On-site

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 ...

Accord Technologies Inc.

Sr. AI Developer w/ Reactjs

Warren, NJ · On-site

$56.50 - $74.75/hr

Strong proficiency in Python, with experience in AI/ML libraries such as TensorFlow, PyTorch, or Hugging Face. * Hands-on experience with React.js and front-end development. * Practical knowledge of ...

Accord Technologies Inc.

Gen AI Architect

New York, NY · On-site

$69 - $90.75/hr

Experience with AI/ML tools and frameworks such as TensorFlow, PyTorch, Hugging Face, LangChain, LangGraph, or similar. * Deep understanding of data workflows, feature engineering, model training ...

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All JobsTensorflow Pytorch JobsTensorflow Pytorch Jobs in Somerset, NJ

Tensorflow Pytorch information

See Somerset, NJ salary details

$39.6K

$129.7K

$207.6K

How much do tensorflow pytorch jobs pay per year?

As of Aug 17, 2026, the average yearly pay for tensorflow pytorch in Somerset, NJ is $129,679.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,100.00 and $143,700.00 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 job categories do people searching Tensorflow Pytorch jobs in Somerset, NJ look for?

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

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

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

Tensorflow Pytorch jobs near you

5G AI/ML & Application Modernization

Simple Solutions

Bedminster, NJ • On-site

$70 - $90/hr

Full-time

Posted 6 days ago

Job description

5G AI/ML & Application Modernization

Position Overview:

senior-level 5G network engineering, AI/ML, and application modernization. This role will focus on transforming legacy applications, driving automation, and unlocking efficiencies across the company’s 5G network infrastructure to support next-generation services and scale.

Key Responsibilities

· modernization and re-architecture of legacy telecom applications into scalable, cloud-native, Java-based platforms

  • Apply AI/ML models to optimize 5G network performance, capacity planning, and fault management
  • Identify and drive efficiency gains across the 5G ecosystem (RAN, Core, Transport, Edge)
  • Partner with network engineering and IT teams to implement intelligent automation and AIOps solutions
  • Develop high-performance Java applications supporting real-time telecom workloads
  • Analyze large-scale network data to deliver actionable insights, cost optimization, and latency reduction
  • Support innovation initiatives, POCs, and pilots tied to 5G monetization and operational excellence

Required Qualifications

Please focus on 2025/2026 PhD Graduates

· Masters Computer Science, Electrical Engineering, Telecommunications, or related discipline

  • SMI, ORAN, 3GPP, Cloud, CI/CD, Python, Java,
  • Experience in 5G architectures (RAN, Core, Edge, Open RAN exposure a plus)
  • Development background in Java and modern application frameworks
  • Hands-on experience with AI/ML technologies (TensorFlow, PyTorch, or equivalent)
  • Proven experience in application transformation and performance optimization
  • Experience working with SMI, ORAN, 3GPP, Cloud, CI/CD, Python, Java
  • Background in telecom service provider environments

Preferred Qualifications

· Experience with network automation, orchestration, and observability platforms

  • Familiarity with Kubernetes, microservices, and hybrid cloud architectures
  • Exposure to AIOps, network analytics, and predictive maintenance models

Success Metrics

· Measurable reductions in network latency and operational costs

  • Improved application performance, resiliency, and scalability
  • Increased automation across network operations and service delivery
  • Delivery of AI-driven insights that improve network efficiency and customer experience

We strive to create an environment where all employees are empowered to succeed based on their skills, performance, and dedication. Our goal is to cultivate a culture of belonging that encourages innovation, collaboration, and respect for all team members, ensuring that WWT remains a great place to work for All!



BenefitsLOCKED REQUIREMENT LIST — READY FOR ACCOUNT MANAGER REVIEW
JOB INFORMATION
Job Title: Engineer – 5G AI/ML & Application Modernization
Client: WWT
Location: Bedminster, NJ
Remote, Hybrid, or Onsite: Onsite — Daily
Employment Type: Not stated
Account Manager: Not stated
Date Created: August 10, 2026
Locked Requirement List Version: 1.0

The position is explicitly described as an onsite role in Bedminster, NJ with an initial six-month duration and opportunity for extension.

ELIGIBILITY REQUIREMENTS
ID
Eligibility Requirement
Required/Preferred
Source
E1
Must work onsite daily in Bedminster, NJ
Required
Job Description
E2
Initial 6-month assignment
Required
Job Description
E3
Master's degree in Computer Science, Electrical Engineering, Telecommunications, or related discipline
Required
Job Description
E4
2025/2026 PhD graduate profile
Preferred
Job Description

Eligibility clarification: The JD says, “Please focus on 2025/2026 PhD Graduates,” but does not state that a PhD is mandatory. Therefore, the PhD profile is classified as Preferred, while the Master's degree requirement is classified as Required.

Not stated in the Job Description: Visa/work authorization, relocation policy, travel requirement, employment classification, rate/compensation restriction, or required certifications.

MUST-HAVES — 80% OF TOTAL CANDIDATE SCORE
ID
Locked Must-Have Requirement
Evidence from Job Description
M1
5G Architecture Experience — RAN, Core, and Edge
Requires experience with 5G architectures and identifies RAN, Core, and Edge; the role focuses on efficiencies across the 5G ecosystem.
M2
Java Application Development & Modern Frameworks
Requires a development background in Java and modern application frameworks; responsibilities include developing high-performance Java applications for real-time telecom workloads.
M3
Hands-On AI/ML Technology Experience
Requires hands-on AI/ML experience using TensorFlow, PyTorch, or equivalent technologies and applying AI/ML models to 5G network optimization.
M4
Application Transformation & Performance Optimization
Requires proven experience in application transformation and performance optimization; the role modernizes and re-architects legacy telecom applications.
M5
Telecom Standards / Interfaces — SMI, ORAN, and 3GPP
Required qualifications specifically identify SMI, ORAN, and 3GPP experience.
M6
Cloud, CI/CD, and Python Engineering Experience
Required qualifications specifically identify Cloud, CI/CD, and Python and repeat these technologies as required experience.

The JD expressly requires 5G architecture, Java development, hands-on AI/ML, application transformation/performance optimization, and experience with the listed telecom and engineering technologies.

Scoring note for M1: Evidence showing experience in a telecom service-provider environment should strengthen the candidate's evidence for M1 because the JD separately requires that background.

NICE-TO-HAVES — 20% OF TOTAL CANDIDATE SCORE
ID
Locked Nice-to-Have Requirement
Evidence from Job Description
N1
Open RAN Exposure
The 5G architecture requirement specifically states that Open RAN exposure is a plus.
N2
Network Automation, Orchestration & Observability Platforms
Explicitly listed under Preferred Qualifications.
N3
Kubernetes & Microservices
Kubernetes and microservices familiarity is explicitly listed under Preferred Qualifications.
N4
Hybrid Cloud Architecture Familiarity
Hybrid cloud architecture familiarity is explicitly listed under Preferred Qualifications.
N5
AIOps / Network Analytics / Predictive Maintenance Exposure
Explicitly listed under Preferred Qualifications.
N6
Not clearly stated in the Job Description.
No additional distinct preferred qualification is clearly stated without duplicating a MUST-HAVE or inventing a requirement.

The preferred section specifically identifies network automation/orchestration/observability, Kubernetes, microservices, hybrid cloud, and AIOps/network analytics/predictive maintenance.

FINAL CHECK
  1. Exactly 6 MUST-HAVES: ✅ Confirmed
  2. Exactly 6 NICE-TO-HAVE positions: ✅ Confirmed
  3. No requirement appears in both categories: ✅ Confirmed
  4. Eligibility requirements are separate from scored qualifications: ✅ Confirmed
  5. Every scored requirement is supported by the Job Description: ✅ Confirmed
  6. No qualifications were invented: ✅ Confirmed
One item for Account Manager review

The biggest point worth confirming with the client is the 2025/2026 PhD graduate language. The JD simultaneously says to “focus on” recent PhD graduates while listing a Master's degree under Required Qualifications. I have therefore locked Master's = Required and 2025/2026 PhD = Preferred rather than treating the PhD as a disqualifying eligibility gate.

LOCKED REQUIREMENT LIST — READY FOR ACCOUNT MANAGER REVIEW