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Executive Google Cloud Machine Learning Engineer Jobs in Georgia

Google

Delivery Executive, Google Cloud

Atlanta, GA · On-site

Experience collaborating with channel partners, systems integrators, and third-party developers to ... About the job The Google Cloud Consulting Professional Services team guides customers through the ...

Equifax, Inc.

Machine Learning Engineer

Atlanta, GA · On-site

... executives, customers, and peers from other businesses and institutions * Contribute to all phases ... Cloud Certification Strongly Preferred What could set you apart * Application Development ...

Five and Fly

Machine Learning Engineer

Atlanta, GA · On-site

Google Gemini (multimodal reasoning, advanced RAG integration). * Meta LLaMA (fine-tuned/custom ... Leverage cloud ML platforms (AWS Sagemaker, Databricks ML) for experimentation and scaling.

Google

Platform Customer Engineer, Google Cloud

Atlanta, GA · On-site

$53.50 - $71.75/hr

Experience engaging with, or presenting to, technical stakeholders or executive leaders ... Combine sales, programming, and solutions architecture expertise to prove the value of Google Cloud ...

New

Ksb

Machine Learning Engineer

Grovetown, GA

Machine Learning Engineer KSB GIW, Inc. Department: Engineering, Research & Development Reports to ... Cloud compute (AWS or Azure) and GPU-based training * Coursework or research projects in numerical ...

FanDuel

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100K - $138K/yr

As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast ... Experience working in a cloud environment such as AWS, Google Cloud Platform, Azure. * Experience ...

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Executive Google Cloud Machine Learning Engineer information

Is Google paying engineers 600000?

Salaries for Google Cloud Machine Learning Engineers vary based on experience, location, and level. While some senior engineers may earn total compensation around $600,000 including base salary, bonuses, and stock options, this is not typical for all roles and levels. Entry-level or mid-career engineers generally earn less than this amount.

Will MLE be replaced by AI?

As an Executive Google Cloud Machine Learning Engineer, the role involves designing and deploying AI models, but AI is a tool that complements rather than replaces MLEs. Human expertise is essential for developing, interpreting, and maintaining complex machine learning systems, especially in cloud environments. AI automation can handle routine tasks, allowing MLEs to focus on advanced model development and strategic problem-solving.

What is the salary of an aiml engineer in Google?

An Executive Google Cloud Machine Learning Engineer typically earns a salary ranging from $130,000 to $180,000 annually, depending on experience, location, and level within the company. Additional compensation may include bonuses, stock options, and benefits, reflecting the specialized skills in cloud platforms and machine learning tools.

What engineer makes $500,000 a year?

An executive-level Google Cloud Machine Learning Engineer with extensive experience, advanced certifications, and specialized skills can earn $500,000 or more annually. Such roles often involve leadership responsibilities, strategic project management, and working with large-scale cloud infrastructure and AI models.
What are the most commonly searched types of Google Cloud Machine Learning Engineer jobs in Georgia? The most popular types of Google Cloud Machine Learning Engineer jobs in Georgia are:
What cities in Georgia are hiring for Executive Google Cloud Machine Learning Engineer jobs? Cities in Georgia with the most Executive Google Cloud Machine Learning Engineer job openings:
Executive Google Cloud Machine Learning Engineer jobs near you

Delivery Executive, Google Cloud

Google

Atlanta, GA • On-site

Full-time

Posted 4 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 101 frontline employees who took The Breakroom Quiz

50th of 241 rated software companies

Job description

info_outline
X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Atlanta, GA, USA; Chicago, IL, USA; New York, NY, USA.
Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 10 years of experience in program management, client services or management consulting.
  • Experience delivering enterprise digital transformation projects to customers. (e.g. cloud migrations or multi-cloud transformations across data warehousing and analytics, application development, or cybersecurity solutions).
  • Ability to travel up to 50% of the time as required.

Preferred qualifications:
  • MBA or Master's degree in Computer Science or a related technical field
  • Experience working with new and emerging technologies, methodologies, and solutions in the cloud and broader enterprise technology transformation space.
  • Experience with programs pertaining to data and analytics systems and implementations.
  • Experience collaborating with channel partners, systems integrators, and third-party developers to deliver high-impact solutions.
  • Experience leading cloud-based transformation programs and software development solutions.

About the job
The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google's global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.
In this role, you will engage directly with customers and key Google partners to deliver, design, build, and advise customers on the best way to transition to Google Cloud. You will specialize in the program management, governance, and orchestration of large-scale cloud transformations. This will involve supporting customers and internal teams from pre-sales through delivery and execution of Google Cloud and customer transformation programs.
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $211000 - $293000 (USD) 25% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Complete risk identification, risk assessment activities and mitigation plans. Monitor foreseeable risk, recording its evolution and influence on project objectives.
  • Collaborate with stakeholders to identify work problems and program goals, prioritize deliverables, and measure impact.
  • Establish and track processes in collaboration with stakeholders, hold stakeholders/teams accountable for following the established processes, identify sponsors and stakeholders and secure resources, ensure work alignment with compliance/privacy policies, identify opportunities, implement process improvements, and support/promote the adoption of processes.
  • Manage an overview of project goals and deliverables presented on a timeline and use the roadmap to manage stakeholder expectations, and to communicate plans and coordinate resources.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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