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Tensorflow Pytorch Jobs in Ontario, CA (NOW HIRING)

Proficiency in Python, TensorFlow, PyTorch, and/or PySpark. Ability to translate business needs and requirements into technical solutions. Solid analytical and problem-solving skills. Preferred ...

Senior AI Consultant

Irvine, CA · On-site

$140 - $180/hr

Machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit‑learn) * LLMs and generative AI (e.g., OpenAI, Anthropic, open‑source models) * Cloud platforms (AWS, GCP, or Azure) * Experience ...

New

Lead AI Engineer

Irvine, CA

$110K - $144K/yr

Proficiency in programming languages such as Python, R, or Java, and experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch). * Model Development: Extensive experience in developing ...

Knowledge in Python and relevant libraries/frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, and LangChain. * Hands-on experience with GenAI and LLMs, including fine-tuning, prompt ...

Knowledge in Python and relevant libraries/frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, and LangChain. * Hands-on experience with GenAI and LLMs, including fine-tuning, prompt ...

Knowledge in Python and relevant libraries/frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, and LangChain. * Hands-on experience with GenAI and LLMs, including fine-tuning, prompt ...

PyTorch, TensorFlow, or similar. • Familiarity with OpenCV and PCL (Point Cloud Library) for classical computer vision and 3D data preprocessing. • Experience training, evaluating, and deploying ...

DATA SCIENTIST II

Norco, CA · On-site

$115 - $130/hr

Working knowledge in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) * Knowledge of SQL and experience with relational databases * Machine Learning experience * Working ...

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Tensorflow Pytorch information

See Ontario, CA salary details

$38.2K

$124.9K

$199.9K

How much do tensorflow pytorch jobs pay per year?

As of Aug 8, 2026, the average yearly pay for tensorflow pytorch in Ontario, CA is $124,879.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,200.00 and $138,400.00 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 are popular job titles related to Tensorflow Pytorch jobs in Ontario, CA? For Tensorflow Pytorch jobs in Ontario, CA, the most frequently searched job titles are:
What job categories do people searching Tensorflow Pytorch jobs in Ontario, CA look for? The top searched job categories for Tensorflow Pytorch jobs in Ontario, CA are:
What cities near Ontario, CA are hiring for Tensorflow Pytorch jobs? Cities near Ontario, CA with the most Tensorflow Pytorch job openings:

Machine Learning Engineer II

Niagara Bottling

Diamond Bar, CA • On-site

$120 - $180/hr

Other

Posted 14 days ago


Niagara Bottling rating

7.9

Company rating: 7.9 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

99th of 435 rated food and drinks producers


Job description

Machine Learning Engineer II – Niagara Bottling

We’re looking for Team Members who want to be part of achieving our mission to provide customers the highest quality and most affordable bottled water. Join an entrepreneurial and dynamic environment where you can make an impact, develop lasting relationships, and build a satisfying career.

Key Responsibilities
  • Design, build and own end‑to‑end predictive and prescriptive maintenance systems using Azure Machine Learning Studio, leveraging industrial sensor and PLC data.
  • Develop advanced supervised and unsupervised models to predict Remaining Useful Life (RUL), detect complex anomalies, and prescribe optimized corrective actions. Handle highly imbalanced datasets and build robust classifiers and regression models.
  • Create agentic AI and prescriptive workflows that reason over asset‑health data, parse digital manuals via Retrieval‑Augmented Generation, interact with operational APIs, and generate automated outputs. Use XGBoost, Random Forest, LSTM, Autoencoder, Isolation Forest, One‑Class SVM, Dynamic Time Warping, and PCA.
  • Standardize, clean, enrich raw telemetry and PLC tag data, and build scalable, reproducible training and inference pipelines (MLflow, Kubeflow, Azure ML). Deploy models to hybrid cloud and edge endpoints with low latency.
  • Optimize distributed training and inference, leveraging GPU acceleration and efficient serialization for massive datasets.
  • Deliver high‑fidelity, production‑grade code in Python and C++, accompanied by unit testing and documentation.
  • Communicate complex ML mechanics and model limitations to plant managers, IT directors, and executive leadership, bridging data science and physical operations.
  • Establish automated MLOps pipelines that continuously monitor data drift and trigger zero‑downtime model retraining as factory environments evolve.
Qualifications
  • Education: Bachelor’s degree in Computer Science, Data Science, Electrical/Mechanical Engineering, Mathematics, or a related quantitative field. Master’s or PhD with a machine‑learning focus is highly preferred.
  • Experience: 5–7 years in Python, R, or another programming language; 5–7 years with TensorFlow, PyTorch, or scikit‑learn; 5–7 years in Industrial ML, Automation, or related fields; 3–5 years in NLP (LLM, RAG) and agentic AI; 3–5 years in responsible AI and security considerations.
  • Technical Skills: Deep expertise in PyTorch or TensorFlow; proficient in Python, JavaScript, C/C++, and R; experience with Docker, Kubernetes, CI/CD for ML, MLflow, and Azure Cloud; mastery of SQL and NoSQL time‑series databases (InfluxDB, TimescaleDB).
  • Travel: Estimated 10‑30%.
  • Additional Requirements: This position is open to LosAngelesCounty residents only. Qualified applicants with arrest or conviction records will be considered in accordance with the LosAngelesCounty Fair Chance Ordinance and the California Fair Chance Act.
  • Strong communication, problem‑solving, and analytical skills; ability to work with minimal supervision and in a dynamic environment.
Equal Opportunity Statement

NiagaraBottlingLLC is an Equal Opportunity Employer that does not discriminate on the basis of race, color, religion, sex, age, sexual orientation, gender identity and/or expression, national origin, veteran status or disability in relation to recruiting, hiring and promotion practices.

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What Niagara Bottling employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Niagara Bottling logo

About Niagara Bottling

Sourced by ZipRecruiter

Niagara Bottling, LLC has been family owned and operated since 1963. Niagara is a leading bottled water manufacturer in the U.S., supplying major retailers across the nation. Nielsen +/biNyDGcAS61OV0GIrHcWTOCFo= Nielsen is a global leader in audience measurement, data and analytics, shaping the future of media. Measuring behavior across all channels and platforms to discover what audiences love, we empower our clients with trusted intelligence that fuels action. Do you want to move the industry forward with Nielsen? Our people are the driving force. Your thoughts, ideas and expertise can propel us forward. Whether you have fresh thinking around maximizing a new technology or you see a gap in the market, we are here to listen and take action. Our team is made strong by a diversity of thoughts, experiences, skills, and backgrounds. You'll enjoy working with smart, fun, curious colleagues, who are passionate about their work. Come be part of a team that motivates you to do your best work! NielsenIQ /xHzLYOL7B5gJKeErHR5OpVt2Os= NielsenIQ is a global measurement and data analytics company providing the most complete and trusted view of consumers and markets in 90 countries covering 90% of the world's population. Focusing on consumer-packaged goods manufacturers and FMCG and retailers, we enable customers to defy what's possible. How? We combine unparalleled datasets, pioneering technology, and the industry's top talent to create insights that unlock innovation. Join us and change the landscape. Nike weB0VQ7iUwaCHWNipwHEhUU5oFo= Our purpose is to unite the world through sport to create a healthy planet, active communities, and an equal playing field for all. In order to stay at the top of our game, we're always looking to level-up with outstanding people who provide the kind of above-and-beyond service that inspires Nike fans for life! NOCD qMdV2+zQfKcKckWjOX3hDGP8fkM= NOCD is the #1 telehealth provider for the treatment of obsessive-compulsive disorder (OCD). OCD is one of the most severe, prevalent, and misunderstood mental health conditions. NOCD creates access to online therapy for people with OCD through our telehealth platform. In the NOCD app, members can quickly access and schedule live, face-to-face video therapy sessions with our national network of licensed therapists that specialize in Exposure and Response Prevention Therapy (ERP) - considered the gold standard" in OCD treatment. At NOCD, we help people reclaim their lives with clinically proven OCD treatment, by removing barriers to OCD care, and reducing the stigma associated with OCD. We're changing the world and need other like-minded individuals to accelerate and expand our efforts.

Industry

Food and beverage stores

Company size

5,001 - 10,000 Employees

Headquarters location

Diamond Bar, CA, US

Year founded

1963