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Remote Aws Machine Learning Jobs in Nevada (NOW HIRING)

RZR Global Inc.

Senior Recruiter

Las Vegas, NV · Remote

We operate at the intersection of machine learning, programmatic media, and full-funnel mobile ... Remote-first with real flexibility. Work from anywhere in the US, on a schedule that respects your ...

ABB

OEM Sales Director-Machinery

NV · On-site +1

This role can be remote in the United States and supports the Motion Drive Products Division in New ... Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone ...

Motional

Software Engineer, ML Dev Enablement

Las Vegas, NV · On-site +1

$123K - $163K/yr

... on deep learning models for autonomous driving. We manage a high-scale Cloud Development ... Experience with building on AWS services or other Cloud platforms and container orchestration using ...

Motional

Software Engineer, ML Dev Enablement

Las Vegas, NV · On-site +1

$123K - $163K/yr

... on deep learning models for autonomous driving. We manage a high-scale Cloud Development ... Experience with building on AWS services or other Cloud platforms and container orchestration using ...

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All JobsAws Machine Learning JobsRemote Aws Machine Learning JobsRemote Aws Machine Learning Jobs in Nevada

Remote Aws Machine Learning information

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

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 are remote AWS Machine Learning jobs?

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.
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What are popular job titles related to Remote Aws Machine Learning jobs in Nevada? For Remote Aws Machine Learning jobs in Nevada, the most frequently searched job titles are:
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Remote Aws Machine Learning jobs near you
Manager, Talent & People Analytics

Manager, Talent & People Analytics

Breakthru

Las Vegas, NV • On-site, Remote

Full-time

Medical, Life, Retirement, PTO

Posted 6 days ago

New

Job description

Are you a current Associate? To be considered, you must submit your application through the internal Career Portal (Jobs Hub). Click here to access.

Time Type:

Full time

Remote Type:

Job Family Group:

Human Resources

Job Description Summary:

The Manager, Talent & People Analytics at Breakthru Beverage Group manages talent management programs and people analytics initiatives to drive informed workforce decisions and business outcomes. In this role, you will act as a partner to Human Resources by providing actionable insights from analyzing data that informs performance and talent strategy. Your projects will span the annual performance management cycle, employee engagement surveys, people analytics, annual talent review, other talent management processes, and special projects. You will collaborate across the business to drive best-in-class processes, programs, and tools that support a high-performance culture at Breakthru.

Job Description:

This role follows a flexible hybrid schedule and can be performed from any Breakthru Beverage office location.

Job Responsibilities:

  • Manages the end-to-end lifecycle of critical talent programs: performance management (goal setting, mid-year, and year-end) and employee engagement.
  • Analyzes and translates people and business data into actionable insights and recommendations that drive talent, performance, culture, and employee engagement strategies.
  • Consults with team members to execute various surveys, programs, and plans across the business to measure and enhance performance and impact.
  • Collaborates on driving the rollout of career frameworks, talent reviews, succession planning, and development planning.
  • Creates executive-level talent presentations that transform complex information into compelling narratives, using advanced PowerPoint design, visualization, and storytelling techniques to effectively communicate insights and recommendations.
  • Supports the broader HR team with a variety of ad hoc performance, talent management/ analytics-related projects and/or initiatives to support business growth and people-related objectives.
  • Other duties, as assigned by the jobholder's supervisor, may also be required.

Required Qualifications:

  • Bachelor's degree in business, industrial psychology, human resources, and/or related field.
  • Minimum of 5 years' experience in Human Resources, Talent Management, Analytics
  • Advanced data-driven mindset with ability to translate analytics into business insights
  • Advanced proficiency in Excel and PowerPoint, including data visualization, dashboard development, executive storytelling, and presentation design
  • Demonstrated experience applying AI, machine learning, and predictive analytics concepts to talent management and people analytics initiatives
  • Ability to multi-task, work independently and/or within a team, pay attention to detail, and meet deadlines
  • Utilizes sound judgement, project management, and problem-solving skills
  • Ability to work in a fast-paced, high-volume, results-focused corporate environment.

Preferred Qualifications:

  • Experience in one or more of the following areas:
    • HRIS and employee survey platforms (e.g., Workday, Peakon)
    • Power BI reporting and dashboard development
    • Survey design, item creation, or employee listening methodologies
    • Generative AI tools (e.g., Microsoft Copilot, ChatGPT, AI-assisted analytics tools)
  • Advanced Microsoft PowerPoint skills, including data visualization and storytelling for leadership audiences

Physical Requirements:

  • While performing the duties of this job, the employee is required to remain in a stationary position at times; communicate, and operate a computer and telephone

Competencies:

  • Manages complex tasks or projects requiring specialized expertise.
  • Analyzes ambiguous problems and recommends solutions.
  • Exercises independent judgment on moderate-impact decisions.
  • Leads projects and influences cross-functional partners.

This job description is only a summary of the typical functions of this position, not an exhaustive or comprehensive list of all possible job responsibilities, tasks and duties. Responsibilities, tasks, and duties of individual jobholders may vary from the above description.

Salary and Benefit Statement:

Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, applicant's skills and prior relevant experience.

  • Salary Range: $92,000.00 - $115,000.00

  • This position is eligible to participate in a bonus program. Metrics and level of participation are determined annually

  • This position is eligible for health care benefits, life insurance, time off benefits and participation in the Company's 401(k) plan

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Breakthru Beverage Group is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information and other legally protected characteristics. The EEO is the Law poster is available here. If you need a reasonable accommodation because of a disability for any part of the employment process, please call (708) 298-3536 and let us know the nature of your request and your contact information.

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