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Remote Aws Machine Learning Jobs in Riverside, CA

Head of Risk and Compliance

Santa Ana, CA ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

For remote roles, and at our discretion, candidates may be asked to participate in an on-site ... Build and tune the fraud-detection stack - rules engines, machine-learning models, device and ...

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Remote Aws Machine Learning information

What are the key skills and qualifications needed to thrive as a remote AWS Machine Learning engineer?

To thrive as a Remote AWS Machine Learning Engineer, you need a strong background in machine learning algorithms, statistical analysis, and proficiency in programming languages such as Python, often supported by a relevant degree or certification. Familiarity with AWS services like SageMaker, Lambda, and EC2, as well as experience using cloud-based ML tools and AWS Certified Machine Learning credentials, is typically required. Excellent problem-solving skills, self-motivation, and clear written communication are valuable soft skills for remote collaboration and project management. These skills ensure effective model development, seamless deployment on cloud infrastructure, and successful remote teamwork in delivering scalable ML solutions.

What is a remote AWS Machine Learning job?

Remote AWS Machine Learning jobs involve working with Amazon Web Services' suite of machine learning tools and services, such as SageMaker, to build, train, and deploy machine learning models. These positions allow professionals to work from anywhere, collaborating with teams virtually while leveraging AWS infrastructure to solve data-driven problems. Responsibilities often include data preprocessing, model development, and deploying scalable solutions in the cloud. Typical job titles may include Machine Learning Engineer, Data Scientist, or AI Developer, all with a focus on AWS technologies. These roles require strong programming skills, experience with cloud computing, and a background in machine learning or data science.

What is the difference between Remote Aws Machine Learning vs Remote Data Scientist?

AspectRemote Aws Machine LearningRemote Data Scientist
Required CredentialsAWS certifications, machine learning coursesStatistics, data analysis, programming skills
Work EnvironmentCloud platforms, AWS services, remote teamsData analysis, modeling, research in remote settings
Industry UsageTech, finance, healthcare using AWS ML toolsResearch, consulting, analytics across industries

Remote AWS Machine Learning specialists focus on deploying machine learning models using AWS cloud services, requiring AWS certifications and cloud expertise. Remote Data Scientists analyze data, build models, and interpret results, often with a stronger emphasis on statistics and programming. While both roles work remotely and involve data, AWS Machine Learning roles are more cloud and deployment-oriented, whereas Data Scientists focus on data analysis and research.

What are some common challenges faced by remote AWS Machine Learning engineers, and how can they be addressed?

Remote AWS Machine Learning engineers often face challenges related to communication and collaboration, especially when working across different time zones and with cross-functional teams. Ensuring secure access to data and cloud resources is another key concern, given the sensitive nature of many machine learning projects. To overcome these challenges, engineers should leverage AWS collaboration tools, maintain clear documentation, and participate in regular virtual meetings. Additionally, setting up robust security protocols and using AWS Identity and Access Management (IAM) helps safeguard project assets while enabling effective teamwork.

What are popular job titles related to Remote Aws Machine Learning jobs in Riverside, CA?

For Remote Aws Machine Learning jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Remote Aws Machine Learning jobs in Riverside, CA look for?

The top searched job categories for Remote Aws Machine Learning jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Remote Aws Machine Learning jobs?

Cities near Riverside, CA with the most Remote Aws Machine Learning job openings:

Infographic showing various Remote Aws Machine Learning job openings in Riverside, CA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Enterprise Account Executive Manufacturing

Hitachi Solutions

Irvine, CA โ€ข On-site, Remote

$120K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago


Job description

Company Description
About Hitachi Solutions
Hitachi Solutions is a global Microsoft solutions integrator dedicated to developing and delivering industry-focused solutions that empower clients to achieve their business transformation goals. Our expertise, industry focus, intellectual property and strategic partnership with Microsoft set us apart. We are consistently recognized for our achievements in teaming with clients to deliver innovative digital solutions and services.
With over 3,000 team members across 14 countries and 18 years of 100% focus on Microsoft technologies and business applications, we help clients unify, automate, and modernize their data and operations to increase efficiency, reduce costs, and enhance customer experiences.
As part of Hitachi, Ltd., we benefit from the financial strength, innovative legacy, and global presence of one of the world's largest companies. Since 1910, Hitachi, Ltd. has been a leader in manufacturing innovative products and solutions that support industry and social infrastructure worldwide, employing over 303,000 people across 864 companies in more than 100 countries
Job Description
Title: Account Executive, Enterprise Sales (Manufacturing)
Location: USA West (Remote)
Reports To: Senior Director, Enterprise Sales
As a Hitachi Solutions Account executive, you will be responsible for growing your market by participating in all phases of customer engagement. This role will focus on growing sales opportunities within all Microsoft solution areas. This encompasses offerings within the Business Application (BA) solution area, including Microsoft 365, Dynamics 365 (ERP and CRM), Power Platform, and Customer Insights, and the Microsoft Azure solution area, including Data and Analytics, Data Science, AI/ML, and Modern Solutions. The successful candidate will be a self-motivated individual, who can work under dynamic conditions and can foster productive relationships within a diverse customer base.
You will focus on:
  • Driving and managing the sales cycle from opportunity creation to closure.
  • Leading all activities, managing communication and guiding collaboration with extended team members including specialist sales, pre-sales engineers, industry directors and leadership throughout the sales cycle.
  • Developing strategic account, territory and opportunity plans for achievement of annual objectives.
  • Establishing and building deep relationships with Microsoft's field teams to identify, qualify, co-sell leads and opportunities and to sell jointly into accounts in a collaborative manner.
  • Supporting all marketing and lead generation activities, including driving participation in company sponsored events (i.e. webinars), supporting industry and partner events (i.e. Microsoft Ignite) and direct client acquisition efforts (i.e. cold calling and Account Based Marketing efforts).
  • Building and maintaining relationships in your target accounts with C-level and leadership level contacts within both the business and IT organizations.
  • Accurately managing, reporting and forecasting your business on a regular basis to allow for predicable outcomes.

Qualifications
  • Post-secondary degree/diploma in Business, Computer Science or a related discipline or work experience equivalent.
  • Industry Experience in the Manufacturing space is preferred for this role.
  • 7+ years experience in selling strategic technology business applications and solutions; Microsoft experience a plus
  • Prior successful sales experience selling technical services that leverage both on-premise and Cloud based technologies
  • Preference for candidates that have sold services leveraging the Microsoft stack including Dynamics 365, Power Platform, and/or Azure, SQL, Machine Learning, IoT, and Modern Solutions.
  • Strong and established relationships with Microsoft customer facing account teams
  • Strong written and presentation communication skills
  • Experience working with third-party vendors and partners
  • Ability to thrive in a dynamic and entrepreneurial environment and to work with a team

Additional Information
Why Join Hitachi Solutions?
  • Step into a high-impact role that builds upon a foundation of deep industry expertise.
  • Leverage your reputation and knowledge to drive innovation and transformation for leading organizations.
  • Be part of a globally recognized team committed to excellence, collaboration, and growth.

We are an equal opportunity employer. All applicants will be considered for employment without attention to age, race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Base Salary Pay Range*: USD $97,500 - USD $147,500 for Account Executive.
USD $120,000 - USD $160,000 for Senior Account Executive
*The current applicable Base Salary Pay Range for this role is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills relevant to the role, internal equity, alignment with market data, or other law.
Other Compensation / Benefit Overview
In addition to Base Salary, the successful candidate may be eligible to participate in the following plans / programs, upon satisfying all hiring requirements:
  • Annual Sales Incentive plan
  • Medical, Dental and Vision Coverage
  • Life Insurance and Disability Programs
  • Retirement Savings with Company Match
  • Paid Time Off
  • Flexible Work Arrangements including Remote Work

#REMOTE
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Beware of scams
Our recruiting team may communicate with candidates via our @hitachisolutions.com domain email address and/or via our SmartRecruiters (Applicant Tracking System) notification@smartrecruiters.com domain email address regarding your application and interview requests.
All offers will originate from our @hitachisolutions.com domain email address. If you receive an offer or information from someone purporting to be an employee of Hitachi Solutions from any other domain, it may not be legitimate.