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Machine Learning Jobs in Rancho Cordova, CA (NOW HIRING)

Pwc

AI & GenAI Data Scientist - Manager

Sacramento, CA · On-site

$99K - $232K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials ...

Deloitte

Data Scientist

Sacramento, CA

Develop and train machine learning models to solve problems such as prediction, classification, and clustering. * Validate and deploy models into production environments. * Communicate findings and ...

Deloitte

AI Data Engineer - Manager

Sacramento, CA · On-site

$122K - $146K/yr

Lead the development of AI models (e.g., machine learning, natural language processing, computer vision) and implement scalable AI solutions. Collaboration and Stakeholder Engagement * Collaborate ...

Deloitte

Senior AI Engineer - SFL Scientific

Sacramento, CA

$111K - $153K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Deloitte

AI and Data Science Engineer III

Sacramento, CA · On-site +1

$122K - $146K/yr

Deliver governed datasets and feature engineering and serving patterns for machine learning training and real-time inference, including online and offline consistency, caching, latency targets, and ...

1 point system

.NET Architect

Sacramento, CA · On-site

Hands-on experience with Azure services including AKS, Azure Functions, Logic Apps, and Azure Machine Learning. * Familiarity with AI/ML frameworks and tools such as Infer.NET and ML.NET.

Pwc

CTIO AI Engineering Manager

Sacramento, CA

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Staffingine LLC

AI Engineer

Woodland, CA · On-site

Design develop and deploy machine learning models and algorithms using Python Lead data science projects from concept to implementation ensuring timely delivery and quality outcomes * Perform ...

Deloitte

Lead AI and Data Solutions Engineer II

Sacramento, CA · On-site

$109K - $144K/yr

Defining architecture patterns, engineering standards, and delivery approaches for data platforms, machine learning solutions, and application integrations * Overseeing the build of data pipelines ...

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Machine Learning information

See Rancho Cordova, CA salary details

$27.2K

$45.4K

$93.9K

How much do machine learning jobs pay per year?

As of Jun 10, 2026, the average yearly pay for machine learning in Rancho Cordova, CA is $45,427.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,700.00 and $49,100.00 per year, depending on experience, location, and employer.

What is a Machine Learning job?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are some typical day-to-day responsibilities in a Machine Learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

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

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

What are popular job titles related to Machine Learning jobs in Rancho Cordova, CA? For Machine Learning jobs in Rancho Cordova, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning jobs in Rancho Cordova, CA look for? The top searched job categories for Machine Learning jobs in Rancho Cordova, CA are:
What cities near Rancho Cordova, CA are hiring for Machine Learning jobs? Cities near Rancho Cordova, CA with the most Machine Learning job openings:
Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Rancho Cordova, CA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $45,427 per year, or $21.8 per hour.

Data Analytics / Data Scientist Engineer - AGS 0527 SS#

NavitasPartners

Sacramento, CA

$40/hr

Other

Posted 15 days ago

Job description

Job Title: Data Analytics / Data Scientist Engineer

Location: Multiple locations across United States
Job Type: Full-Time / Contract

Note: We are looking for candidates who are eligible for Top Secret Clearance.

Position Overview

We are seeking a highly skilled Data Analytics / Data Scientist Engineer to support advanced aerospace and defence analytics initiatives. This role focuses on leveraging large-scale telemetry, mission systems, and maintenance datasets to drive predictive insights and improve operational readiness.

The ideal candidate will work on high-impact programs involving predictive maintenance, anomaly detection, and mission capability optimization within a complex, data-rich environment.

Key Responsibilities

  • Analyze large-scale datasets including telemetry, mission systems, and maintenance data
  • Develop predictive models for:
    • Equipment readiness
    • Failure trends
    • Maintenance optimization
  • Perform time-series analysis on sensor and operational data
  • Identify anomalies and patterns impacting system performance and mission success
  • Build and deploy machine learning models to support sustainment strategies
  • Collaborate with cross-functional teams including engineering, operations, and analytics
  • Create dashboards and visualizations to communicate insights to stakeholders
  • Support data-driven decision-making for operational and logistics optimization

Required Skills & Experience

  • Strong programming skills in Python (Pandas, NumPy, SciPy)
  • Experience with Machine Learning and predictive modelling
  • Proficiency in statistical analysis and modelling techniques
  • Solid experience with SQL and data querying
  • Expertise in data visualization tools (e.g., Tableau, Power BI, Matplotlib)
  • Hands-on experience with time-series data analysis
  • Ability to work with large, complex datasets in production environments

Preferred / Nice-to-Have

  • Experience working with sensor data analytics
  • Exposure to telemetry data processing and exploitation
  • Background in flight test data reduction and analysis
  • Experience in aerospace, defence, or other regulated industries
  • Familiarity with predictive maintenance and reliability engineering

Work Environment

  • Collaborative, cross-functional team environment
  • High-impact, mission-driven projects
  • Opportunity to work on cutting-edge analytics and data science initiatives

Summary

This role is ideal for a data-driven professional passionate about solving complex, real-world problems using advanced analytics and machine learning. You will contribute directly to improving system performance, reliability, and operational efficiency in a highly technical domain.

For more details reach at shubham.sharma@navitassols.com.

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