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Oracle Machine Learning Jobs in California (NOW HIRING)

INVENSENSE

Sales Operations - Sr Manager

San Jose, CA · On-site

$140K - $180K/yr

Machine Learning & Advanced Analytics (40%) Identify opportunities to apply machine learning and ... as SAP or Oracle Demonstrated ability to translate analytical insights into business ...

The Voleon Group

Database Administrator (DBA)

Berkeley, CA · On-site +1

$155K - $195K/yr

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to ... Administer, monitor, and maintain relational databases (PostgreSQL, MySQL, or Oracle) in production ...

Esri

Product Engineer

Redlands, CA · On-site

Write data science and machine learning samples using ArcGIS and open-source ecosystem * Author ... Demonstrated experience in C#, Java, C++, Python, RDBMS (such as Microsoft SQL Server, Oracle, or ...

Voxelcloud

Software Engineer

Los Angeles, CA · On-site

Work with peers (product leads, data science and machine learning engineers) across products to ... Experience with databases such as MS SQL or Oracle or MySQL * Agile methodology experience * Strong ...

Voxelcloud

Software Engineer

Los Angeles, CA

Work with peers (product leads, data science and machine learning engineers) across products to ... Experience with databases such as MS SQL or Oracle or MySQL * Agile methodology experience * Strong ...

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How much do oracle machine learning jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for oracle machine learning in California is $60.35, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $70.24 per hour, depending on experience, location, and employer.

What are the typical responsibilities and daily tasks of someone working in an Oracle Machine Learning position?

Professionals in Oracle Machine Learning roles are typically responsible for building, deploying, and optimizing machine learning models within Oracle Database environments. Daily tasks may include preparing and cleaning large data sets, developing algorithms using SQL, Python, or R, and interpreting results to provide actionable business insights. They often collaborate closely with data engineers, business analysts, and IT teams to understand data needs and translate business requirements into technical solutions. The role also involves monitoring model performance and making continuous improvements to ensure accuracy and efficiency. This position is dynamic and offers opportunities for ongoing learning and career growth in both data science and enterprise database management.

What are the key skills and qualifications needed to thrive in the Oracle Machine Learning position, and why are they important?

To thrive in an Oracle Machine Learning role, you need a strong foundation in machine learning algorithms, data analysis, and proficiency with Oracle Database and PL/SQL, typically supported by a degree in computer science, data science, or a related field. Experience with Oracle Machine Learning tools (such as OML4SQL or OML4Py), certifications like Oracle Certified Professional, and familiarity with platforms such as Oracle Cloud Infrastructure are highly valuable. Excellent problem-solving abilities, attention to detail, and effective communication skills help professionals collaborate across multidisciplinary teams. These competencies are crucial for designing predictive models, extracting meaningful insights from large datasets, and driving data-driven business decisions using Oracle technologies.

What is an Oracle Machine Learning job?

An Oracle Machine Learning job involves using Oracle's machine learning tools and databases to develop, deploy, and manage predictive models and AI-driven solutions. Professionals in this role work with SQL, Python, and Oracle Machine Learning (OML) to analyze data, automate processes, and optimize decision-making. Responsibilities may include data preparation, model training, and integrating machine learning models into Oracle databases and applications. This role is common in industries like finance, healthcare, and retail, where data-driven insights improve business outcomes. Strong knowledge of Oracle Cloud Infrastructure (OCI) and database management is often required.

What are popular job titles related to Oracle Machine Learning jobs in California? For Oracle Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Oracle Machine Learning jobs in California look for? The top searched job categories for Oracle Machine Learning jobs in California are:
Oracle Machine Learning jobs near you
Infographic showing various Oracle Machine Learning job openings in California as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $125,519 per year, or $60.3 per hour.
Data Analytics Specialist

Data Analytics Specialist

West Advanced Technologies (WATI)

Sacramento, CA • On-site

Full-time

Re-posted 19 days ago

Job description

Data Analytics Specialist
Sacramento, CA
12 months
Mandatory Qualifications:
Extensive experience in designing, developing, and maintaining complex data models in Snowflake.
Extensive knowledge of Power BI, including data modeling, data warehousing concepts, ETL/ELT processes, report development, and performance optimization.
Extensive experience in designing, developing, and maintaining complex relational data models, including working with Oracle databases and managing Data Definition Language (DDL) scripts.
Extensive experience in designing, developing, and maintaining AI/Machine Learning-specific data models.
Extensive experience with Erwin Data Modeler.
Bachelor's Degree in an IT-related or Engineering field.
Thanks & Regards
Naresh Damagalla
West Advanced Technologies Inc.
Email: naresh.d@wati.com

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