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Tensorflow Pytorch Jobs in Whippany, NJ (NOW HIRING)

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 ...

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 ...

Senior Manager - Data Science

Manhattan, NY · On-site

$123K - $215K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Build and evaluate models using modern ML frameworks (e.g., TensorFlow, PyTorch), focusing on scalability, performance, and interpretability * People Leadership: Lead a team of high-performing data ...

Principal Machine Learning Engineer

Manhattan, NY · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will use TensorFlow and PyTorch. The focus will be on modern personalization techniques. These techniques include representation learning. They also include multi-modal embeddings, contextual ...

Principal Machine Learning Engineer

Manhattan, NY

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will use TensorFlow and PyTorch. The focus will be on modern personalization techniques. These techniques include representation learning. They also include multi-modal embeddings, contextual ...

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 ...

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Tensorflow Pytorch information

See Whippany, NJ salary details

$37.7K

$123.4K

$197.6K

How much do tensorflow pytorch jobs pay per year?

As of Aug 17, 2026, the average yearly pay for tensorflow pytorch in Whippany, NJ is $123,445.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,100.00 and $136,800.00 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?

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 job categories do people searching Tensorflow Pytorch jobs in Whippany, NJ look for?

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

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

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

Infographic showing various Tensorflow Pytorch job openings in Whippany, NJ as of June 2026, with employment types broken down into 1% Internship, 93% Full Time, 4% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $123,445 per year, or $59.3 per hour.

Principal Data Scientist - R01568403

Socket.dev

Edison, NJ • On-site

$180 - $190/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

About Brillio:

Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world‑class professionals, referred to as "Brillians", distinguishes itself through its capacity to seamlessly integrate cutting‑edge digital and design thinking skills with an unwavering dedication to client satisfaction.

Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.

Principal Data Scientist

Experience Range: 15 - 18 years of experience in advanced data science roles, with extensive leadership in designing and deploying statistical and machine learning solutions.

Key Responsibilities
  • Design and implement robust statistical models and machine learning algorithms for large‑scale data analysis and predictive analytics.
  • Lead end‑to‑end development of data science projects, including hypothesis testing, regression analysis, classification, and forecasting.
  • Collaborate with cross‑functional teams to define business requirements, translate them into analytical solutions, and drive measurable impact.
  • Optimize and automate data pipelines using Python, PySpark, and R, ensuring efficient data processing and feature engineering.
  • Develop, validate, and maintain probabilistic graph models and advanced statistical computing frameworks.
  • Utilize industry‑leading ML frameworks such as TensorFlow, PyTorch, and Sci‑Kit Learn to build, train, and deploy models.
  • Establish rigorous model evaluation and monitoring processes using tools like Great Expectations and Evidently AI.
  • Mentor and guide junior data scientists, fostering technical excellence and continuous learning within the team.
Required Skills
  • Expertise in hypothesis testing, including T‑Test and Z‑Test methodologies.
  • Advanced proficiency in regression techniques (linear and logistic).
  • Strong programming skills in Python, PySpark, and R/R Studio.
  • Hands‑on experience with SAS and SPSS for statistical analysis and computing.
  • In‑depth knowledge of probabilistic graph models.
  • Experience with forecasting methods such as Exponential Smoothing, ARIMA, and ARIMAX.
  • Practical use of classification algorithms including Decision Trees and Support Vector Machines (SVM).
  • Proficiency with ML frameworks: TensorFlow, PyTorch, Sci‑Kit Learn, CNTK, Keras, MXNet.
  • Familiarity with distance metrics (Hamming, Euclidean, Manhattan).
  • Working knowledge of Kubeflow and BentoML for model deployment and orchestration.
Preferred Skills
  • Experience implementing advanced model monitoring with Evidently AI.
  • Expertise in data pipeline automation and orchestration using Kubeflow.
  • Knowledge of emerging ML frameworks and architectures.
  • Experience with large‑scale distributed computing environments.
  • Strong background in statistical validation and reproducibility best practices.
Desired Qualifications
  • Master’s or PhD degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
  • Relevant certifications in machine learning, statistical analysis, or advanced data science.

Salary: $180,000 - $190,000 a year

Brillio is an equal opportunity employer to all, regardless of age, ancestry, colour, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding, and related medical conditions), and sexual orientation.

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