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Temporary Machine Learning R Jobs in Fontana, CA

VSolvit

DATA SCIENTIST II

Norco, CA · On-site

$115K - $130K/yr

Proficiency in Python, R, or similar programming languages for data analysis * Working knowledge in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) * Knowledge of SQL and ...

VSolvit, LLC.

DATA SCIENTIST II

Norco, CA · On-site

$115 - $130/hr

Proficiency in Python, R, or similar programming languages for data analysis * Working knowledge in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) * Knowledge of SQL and ...

Search Tactics LLC

Power BI Developer

Diamond Bar, CA · On-site

Solid Data Science experience (statistical analysis, predictive analytics, machine learning concepts, Python/R a plus) * Demonstrated stakeholder management experience - ability to engage directly ...

search-tactics

Power BI Developer

Diamond Bar, CA · On-site

Solid Data Science experience (statistical analysis, predictive analytics, machine learning concepts, Python/R a plus) * Demonstrated stakeholder management experience -- ability to engage directly ...

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All JobsMachine Learning R JobsTemporary Machine Learning R JobsTemporary Machine Learning R Jobs in Fontana, CA

Temporary Machine Learning R information

See Fontana, CA salary details

$25.9K

$43.3K

$89.5K

How much do temporary machine learning r jobs pay per year?

As of Aug 19, 2026, the average yearly pay for temporary machine learning r in Fontana, CA is $43,292.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,000.00 and $46,800.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Machine Learning R vs Data Analyst?

AspectTemporary Machine Learning RData Analyst
Required SkillsProficiency in R, machine learning algorithms, statistical modelingData visualization, SQL, basic statistical analysis
Work EnvironmentProject-based, technical teams, research-focusedBusiness units, reporting, data cleaning
CertificationsR programming, data science certificationsNone specific, often business or analytics certifications

Temporary Machine Learning R roles focus on developing predictive models using R and machine learning techniques, often in research or technical environments. Data Analysts typically handle data cleaning, visualization, and reporting for business insights. While both roles require analytical skills, Temporary Machine Learning R positions demand specialized knowledge in machine learning and R programming, making them more technical and research-oriented.

What are popular job titles related to Temporary Machine Learning R jobs in Fontana, CA?

For Temporary Machine Learning R jobs in Fontana, CA, the most frequently searched job titles are:

What job categories do people searching Temporary Machine Learning R jobs in Fontana, CA look for?

The top searched job categories for Temporary Machine Learning R jobs in Fontana, CA are:

What cities near Fontana, CA are hiring for Temporary Machine Learning R jobs?

Cities near Fontana, CA with the most Temporary Machine Learning R job openings:

Temporary Machine Learning R jobs near you
Infographic showing various Temporary Machine Learning R job openings in Fontana, CA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $43,292 per year, or $20.8 per hour.

Machine Learning Engineer II

Niagara Bottling

Diamond Bar, CA • On-site

$120 - $180/hr

Other

Posted 26 days ago

Niagara Bottling rating

7.8

Company rating: 7.8 out of 10

Based on 114 frontline employees who took The Breakroom Quiz

100th of 440 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

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