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Data Engineer Ml Jobs in Riverside, CA (NOW HIRING)

Pwc

Data Governance- Manager

Irvine, CA · On-site

$99K - $232K/yr

... Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon ...

FieldAI

Data Platform Engineer, Data Pipelines

Irvine, CA · On-site

$122K - $147K/yr

BI tools, ML training and evaluation pipelines, labeling systems, and issue tracking. * Develop ... Strong programming skills in Python and SQL (C++, Scala, or Java a plus). * Production experience ...

FieldAI

Data Platform Engineer, Data Pipelines

Irvine, CA

$122K - $147K/yr

BI tools, ML training and evaluation pipelines, labeling systems, and issue tracking. * Develop ... Strong programming skills in Python and SQL (C++, Scala, or Java a plus). * Production experience ...

FieldAI

Data Platform Engineer, Data Pipelines

Irvine, CA · On-site

$122K - $147K/yr

BI tools, ML training and evaluation pipelines, labeling systems, and issue tracking. * Develop ... Strong programming skills in Python and SQL (C++, Scala, or Java a plus). * Production experience ...

Visionaire Partners

Lead Data Architect

Irvine, CA · On-site

$148K - $185K/yr

AI/ML Readiness: Build foundational infrastructure, feature frameworks, and MLOps practices for ... Qualifications: * 10+ years in data engineering and architecture * 5+ years leading enterprise ...

Pwc

GenAI Python Systems Engineer-Manager

Irvine, CA

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... and ML solutions to drive innovation and enhance business processes. Your work will involve ...

Saransh Inc

AI/ML Architect

Irvine, CA · On-site

$68.50 - $88/hr

A highly skilled hands-on AI Scientist / Architect with at least 8+ years of experience in AI/ML, Data Science, or Software Engineering. * You bring strong expertise in designing and building ...

Boot Barn

Data Scientist

Irvine, CA · On-site

$95K - $120K/yr

Working closely with AI/ML and Data Engineers, this individual will ensure models are robust, well-designed, and ready to scale, while contributing to the establishment of data science best practices ...

Boot Barn

Data Scientist

Irvine, CA

$95K - $120K/yr

Working closely with AI/ML and Data Engineers, this individual will ensure models are robust, well-designed, and ready to scale, while contributing to the establishment of data science best practices ...

Boot Barn

Data Scientist

Irvine, CA · On-site

$100K - $130K/yr

Working closely with AI/ML and Data Engineers, this individual will ensure models are robust, well-designed, and ready to scale, while contributing to the establishment of data science best practices ...

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Showing results 21-40

All JobsData Engineer Ml JobsData Engineer Ml Jobs in Riverside, CA

Data Engineer Ml information

See Riverside, CA salary details

$48K

$172.2K

$254K

How much do data engineer ml jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data engineer ml in Riverside, CA is $172,158.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,300.00 and $177,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data engineer ML?

To thrive as a Data Engineer ML, you need strong programming skills (especially in Python or Scala), knowledge of data modeling, and a solid foundation in database technologies, typically supported by a degree in computer science or a related field. Familiarity with big data frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and ETL tools, as well as relevant certifications, is highly beneficial. Excellent problem-solving abilities, teamwork, and clear communication help you collaborate with data scientists and stakeholders effectively. These skills are essential for building robust data pipelines and infrastructure that enable scalable, high-quality machine learning solutions.

What does a data engineer ML do?

A Data Engineer ML (Machine Learning) is responsible for designing, building, and maintaining the data pipelines and infrastructure necessary for machine learning applications. They clean, process, and organize large datasets to ensure data quality and accessibility for data scientists and ML engineers. In addition, they may work on deploying machine learning models to production environments and optimizing data workflows for efficiency and scalability.

What is the difference between Data Engineer Ml vs Data Scientist?

AspectData Engineer MlData Scientist
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science certifications
Work EnvironmentBuilding data pipelines, managing databasesAnalyzing data, creating models
Employer & Industry UsageTech companies, finance, healthcareResearch institutions, tech firms, finance

Data Engineer Ml focuses on developing and maintaining data infrastructure and pipelines, while Data Scientists analyze data and build predictive models. Both roles often collaborate but serve different functions within data teams.

How do data engineer ML roles typically collaborate with data scientists and machine learning engineers on projects?

Data Engineer ML professionals work closely with data scientists and machine learning engineers by building and maintaining robust data pipelines, ensuring clean and reliable datasets are readily available for modeling and analysis. They often participate in meetings to understand model requirements, help optimize data storage for performance, and support the deployment of machine learning models into production environments. Effective collaboration involves continuous communication to troubleshoot data issues, implement data validation, and scale solutions as project needs evolve. This teamwork ensures that data-driven projects move efficiently from experimentation to deployment.

What are popular job titles related to Data Engineer Ml jobs in Riverside, CA?

For Data Engineer Ml jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Data Engineer Ml jobs in Riverside, CA look for?

The top searched job categories for Data Engineer Ml jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Data Engineer Ml jobs?

Cities near Riverside, CA with the most Data Engineer Ml job openings:

Data Engineer Ml jobs near you
Infographic showing various Data Engineer Ml job openings in Riverside, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $172,158 per year, or $82.8 per hour.

Sr Data Scientist (AI / ML & GenAI)

SmartIPlace

Irvine, CA • On-site

Contractor

Re-posted 15 days ago

Job description

Hi,

I hope you are doing well.

Please find the job details below:

Job Title: Sr Data Scientist (AI / ML & GenAI)
Location: Irvine, CA

Requirement:
 

  • Education Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, Mathematics, Economics, or related quantitative field from a reputed institution.
  • Experience Around 6 years of experience in Data Science, AI/ML, or Advanced Analytics. Demonstrated experience leading complex, production-grade AI/ML systems at scale.
  • Prior experience mentoring or leading data scientists (formal or informal).
  • Core Technical Expertise Expert proficiency in Python and PySpark.
  • Deep hands-on experience with Spark, Hive, distributed data processing, and cloud platforms.
  • Strong command of ML algorithms, ensemble methods, and advanced feature engineering.
  • Proven hands-on experience with deep learning frameworks (PyTorch and/or TensorFlow).
  • Strong working knowledge of LLMs and Generative AI, including prompt design, orchestration, and evaluation.
  • NLP & Healthcare Analytics Extensive experience with NLP/NLU (NER, summarization, classification, entity extraction), preferably on clinical or healthcare data.
  • Strong understanding of statistical modelling, experimentation, and model validation.
  • Leadership & Professional Skills Proven ability to drive ambiguity to clarity and own outcomes.
  • Strong executive communication and storytelling skills.
  • Ability to balance hands-on technical depth with strategic leadership.
  • Demonstrated ownership mindset with high accountability and bias for action.
  • Domain Expertise (Strongly Preferred) Deep understanding of Medicare Risk Adjustment and CMS programs.
  • Hands-on experience with CMS datasets (MMR, MOR, EDPS, Encounter data).
  • Experience working with clinical, coding, or claims data in healthcare environments.  
Smart-iPlace logo

About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

Social media

Facebook

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