1

Machine Learning Engineer Associate Jobs in Folsom, CA

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 ...

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 ...

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 ...

AI Infrastructure Engineer

Sacramento, CA ยท On-site

$114K - $150K/yr

Engineer advanced ADO pipeline patterns (multi-stage, gated, reusable templates) * Solve complex ... You've gone deeper than reading blog posts, ideally having several example machine learning ...

next page

Showing results 1-20

Machine Learning Engineer Associate information

See Folsom, CA salary details

$44.4K

$88.4K

$141.1K

How much do machine learning engineer associate jobs pay per year?

As of Jul 19, 2026, the average yearly pay for machine learning engineer associate in Folsom, CA is $88,363.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $101,600.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Machine Learning Engineer Associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

What are Machine Learning Engineer Associates?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Associate, and why are they important?

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.
What are the most commonly searched types of Machine Learning Engineer jobs in Folsom, CA? The most popular types of Machine Learning Engineer jobs in Folsom, CA are:
What are popular job titles related to Machine Learning Engineer Associate jobs in Folsom, CA? For Machine Learning Engineer Associate jobs in Folsom, CA, the most frequently searched job titles are:
What cities near Folsom, CA are hiring for Machine Learning Engineer Associate jobs? Cities near Folsom, CA with the most Machine Learning Engineer Associate job openings:
Senior Data & AI Analyst / BI Engineer - (Power BI | SQL | Generative AI | Snowflake | AWS Redshift)

Senior Data & AI Analyst / BI Engineer - (Power BI | SQL | Generative AI | Snowflake | AWS Redshift)

Projas Technologies, LLC

Sacramento, CA โ€ข On-site

$115K - $156K/yr

Other

Posted 20 days ago


Job description

We re Hiring! Senior Data & AI Analyst / BI Engineer -
(Power BI | SQL | Generative AI | Snowflake | AWS Redshift)

Looking for a highly skilled data professional to join an exciting, high-impact project. If you re passionate about Data Analytics, Business Intelligence, and Generative AI, we want to talk to you!

Prior experience with State projects is highly desired

Minimum Technical Qualifications
  • 2+ years of hands-on experience using Generative AI or Machine Learning to deliver data analytics solutions.

  • 5+ years designing & developing Power BI dashboards, data models, and BI solutions (Microsoft Power BI).

  • 5+ years of advanced SQL development writing and optimizing queries, stored procedures, functions, and views with strong database fundamentals.

  • 3+ years building data solutions using Snowflake or AWS Redshift data warehouses.

  • Bachelor s degree in Computer Science, Information Technology, or equivalent technical background.

  • 5+ years of Agile & SDLC experience, contributing to iterative delivery and cross-functional collaboration.

  • 5+ years of Power BI DAX expertise measures, queries, calculations, and complex data models.

  • Experience in State agencies, Financial Services, Investment portfolios, or other regulated industries (highly preferred).


Who Should Apply?

Professionals who thrive in data-driven environments, enjoy solving complex problems, and excel at delivering scalable analytics solutions using the latest cloud and AI technologies.

Power BI Developer, BI Engineer, Data Analyst, Data Engineer, SQL Developer, Snowflake Engineer, AWS Redshift, Generative AI, Machine Learning, DAX Expert, Agile, Data Modeling, Cloud Data Warehouse, Analytics Engineer, Business Intelligence, Enterprise Data.