1

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

Agentic DevOps Engineer

Sacramento, CA · On-site

$70K - $205K/yr

You Are As an Artificial Intelligence and Machine Learning Computational Science professional, you will play a pivotal role in formulating real-world problems into practical, efficient, and scalable ...

Senior AI/ML Engineer

Sacramento, CA · On-site +1

$113K - $156K/yr

The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling tools and pipelines that power autonomous vehicle machine learning models within General Motors' AV ...

... Machine Learning (AI/ML) and data analytic projects with strong understanding of AI/ML concepts, data pipelines, and model lifecycle. 3. Five (5) years of experience in leading cross-functional teams ...

Data Analyst/Data Modeler:

Sacramento, CA · On-site

$58.50 - $75.75/hr

... machine learning supportive of key duties/responsibilities identified above.- Excellent communication and collaboration skills to work effectively with stakeholders and team members. Desired ...

Two (2) or more years of experience managing Artificial Intelligence/Machine Learning (AI/ML) and data analytic projects with strong understanding of AI/ML concepts, data pipelines, and model ...

next page

Showing results 1-20

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 15, 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 $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in deep learning, data analysis, and programming. These roles usually involve leadership responsibilities, strategic planning, and may require extensive experience and specialized certifications, with compensation reflecting the seniority and impact of the role.

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 engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or at large tech companies can earn salaries of $500,000 or more, especially when including bonuses and stock options. Achieving this level typically requires a strong educational background, specialized certifications, and a track record of impactful projects.

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 jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These jobs typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

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.

Which 3 jobs will survive AI?

Machine learning engineers, data scientists, and AI ethics specialists are likely to continue thriving as AI advances, due to their expertise in developing, managing, and overseeing AI systems. These roles require specialized skills, critical thinking, and understanding of complex algorithms that are difficult to fully automate. Continuous learning and certification in relevant tools like Python, TensorFlow, or ethical frameworks will support job security in these fields.
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:
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.
Agentic DevOps Engineer

Agentic DevOps Engineer

Accenture

Sacramento, CA • On-site

$70K - $205K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

46th of 428 rated business services


Job description

We Are

The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI - backed by a $3B investment and commitment to our people to do industry-defining work.

With over 45,000 professionals dedicated to Data & AI, Accenture's Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.

You Are

As an Artificial Intelligence and Machine Learning Computational Science professional, you will play a pivotal role in formulating real-world problems into practical, efficient, and scalable AI and Machine Learning solutions. You will be responsible for developing and implementing cutting-edge artificial intelligence solutions that drive innovation and enhance performance. You will collaborate with cross-functional teams and leverage your expertise in machine learning, deep learning, and data analysis to solve complex problems and deliver impactful AI-driven solutions.

The Work

We are seeking a highly motivated Agentic DevOps Engineer to support our Agentic DevOps initiatives. This role is ideal for a hands-on technical leader ready to contribute to the development and deployment of scalable, production-ready Generative AI agentic systems. You will work closely with senior leadership and cross-functional teams to operationalize reusable DevOps frameworks and ensure seamless delivery of agentic applications across cloud environments.

Key Responsibilities

  • Assist in implementing scalable DevOps frameworks for agentic systems using LangGraph, Crew AI, Autogen, and other orchestration tools.

  • Support the development of reusable components for agent lifecycle management, orchestration, monitoring, and metering.

  • Contribute to CI/CD pipeline setup and maintenance for public and private cloud environments (AWS, Azure, GCP).

  • Collaborate with engineering and DevOps teams to ensure production readiness, observability, and compliance.

  • Participate in client enablement efforts, including deployment support and onboarding.

  • Maintain documentation and contribute to continuous improvement of agentic DevOps processes.

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

Here's what you need

  • Minimum of 4 years of experience in DevOps, AI/ML engineering, or cloud-native development.

  • Minimum of 1 year of experience with LLMs, agentic frameworks (LangGraph, Crew AI, Autogen), and prompt engineering, RAG.

  • Minimum of 4 years of experience with CI/CD tools, containerization (Docker, Kubernetes), and infrastructure-as-code (Terraform).

  • Minimum of 3 years' experience in deploying solutions on Azure.

  • Minimum of 1 year of experience in deploying and monitoring Generative AI systems in production environments.

  • Minimum of 3 years of working on cloud security, observability, and performance optimization.

Bonus points if you have

  • Experience with multi-agent orchestration.

  • Exposure to enterprise data platforms (e.g., SAP, SharePoint).

  • Certifications in cloud platforms (AWS, Azure, GCP, Oracle)

  • Experience in life sciences, fintech, or regulated industries is a plus.

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 06/16/2026.

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

U.S. Employee Benefits | Accenture

Role Location Annual Salary Range

California $70,350 to $205,800

Cleveland $59,100 to $164,600

Colorado $63,800 to $177,800

District of Columbia $68,000 to $189,300

Illinois $59,100 to $177,800

Maine $54,400 to $151,400

Maryland $63,800 to $177,800

Massachusetts $63,800 to $189,300

Minnesota $63,800 to $177,800

New York $66,300 to $205,800

New Jersey $68,000 to $205,800

Virginia $59,100 to $189,300

Washington $80,200 to $189,300

About Accenture

Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities.

Visit us atwww.accenture.com

What We Believe

We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.

Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities.Read more here

Requesting An Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us anemailor speak with your recruiter.

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences.All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law.Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

For details, view a copy of the Accenture Equal Opportunity Statement

Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, pleaseclick herefor additional important information.

Please read Accenture'sRecruiting and Hiring Statementfor more information on how we process your data during the Recruiting and Hiring process.


What Accenture Federal Services employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom