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Google Cloud Machine Learning Engineer Jobs in Raleigh, NC

Telus Digital

Google Cloud Engineer (GECX)

Durham, NC · On-site +1

$53.75 - $72/hr

Active Google Cloud Professional Certifications such as Professional Cloud Architect, Professional Machine Learning Engineer, or Professional Data Engineer. * Practical expertise with Google Customer ...

ExtendMyTeam

Machine Learning Engineer

Cary, NC

As a Machine Learning Engineer, you will help build and operate production systems that power fraud ... Familiarity with cloud platforms such as AWS, GCP, or Azure * Exposure to MLOps concepts such as CI ...

Lenovo

Machine Learning Engineer

Morrisville, NC · Hybrid

Machine Learning Engineer Lenovo is building Quantum, a next-generation hybrid AI platform that spans Windows, Android, and cloud. As part of this initiative, we are growing the engineering ...

Telus Digital

Google CX Engineer

Durham, NC · On-site +1

Active Google Cloud Professional Certifications such as Professional Cloud Architect, Professional Machine Learning Engineer, or Professional Data Engineer. * Practical expertise with Google Customer ...

Samprasoft

Machine Learning Engineer

Durham, NC · On-site

Sr. Machine Learning Engineer Duration: 12 -24 Months Location: Merrimack, NH/ Smithfield, RI ... the Cloud using AWS Sagemaker * Extensive experience working with machine learning models with ...

Q2

Machine Learning Engineer

Cary, NC · On-site

As a Machine Learning Engineer, you will help build and operate production systems that power our ... Familiarity with cloud platforms (AWS, GCP, or Azure). * Exposure to MLOps concepts such as CI/CD ...

CoVar

Machine Learning Engineer

Durham, NC

Machine Learning Engineer About CoVar CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to solve problems that matter. We develop AI/ML tools to help the ...

Vadum, Inc.

Machine Learning Engineer

Raleigh, NC · On-site

$96K - $137K/yr

We are seeking a talented and innovative Machine Learning Engineer to join our dynamic team. In this role, you will be responsible for designing and developing machine learning prototypes, as well as ...

Vadum Inc

Machine Learning Engineer

Raleigh, NC · On-site

We are seeking a talented and innovative Machine Learning Engineer to join our dynamic team. In this role, you will be responsible for designing and developing machine learning prototypes, as well as ...

Vadum Inc

Machine Learning Engineer

Raleigh, NC · On-site

We are seeking a talented and innovative Machine Learning Engineer to join our dynamic team. In this role, you will be responsible for designing and developing machine learning prototypes, as well as ...

Vadum

Machine Learning Engineer

Raleigh, NC

$96K - $137K/yr

We are seeking a talented and innovative Machine Learning Engineer to join our dynamic team. In this role, you will be responsible for designing and developing machine learning prototypes, as well as ...

Deloitte

AI Solutions Architect

Raleigh, NC

$61.25 - $80.75/hr

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

OptiTrack

Machine Learning & Operations Engineer

Durham, NC · Remote

$71K - $96K/yr

About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale ... Optimize GPU/compute utilization across cloud and on-prem environments. * Deploy, monitor, and ...

OptiTrack

Machine Learning & Operations Engineer

Durham, NC · Remote

$67K - $90K/yr

About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale ... Optimize GPU/compute utilization across cloud and on-prem environments. * Deploy, monitor, and ...

WGU

Senior Machine Learning Engineer

Raleigh, NC

$157K - $243K/yr

Master's degree in Computer Science, Software Engineering, Data Science, Machine Learning ... Experience with cloud data platforms (AWS, Azure, GCP) and data/ML tooling (e.g., Databricks ...

OptiTrack

Machine Learning & Operations Engineer

Durham, NC · Remote

$67K - $90K/yr

About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale ... Optimize GPU/compute utilization across cloud and on-prem environments. * Deploy, monitor, and ...

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All JobsGoogle Cloud Machine Learning Engineer JobsGoogle Cloud Machine Learning Engineer Jobs in Raleigh, NC

Google Cloud Machine Learning Engineer information

See Raleigh, NC salary details

$22

$61

$84

How much do google cloud machine learning engineer jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for google cloud machine learning engineer in Raleigh, NC is $61.13, according to ZipRecruiter salary data. Most workers in this role earn between $52.12 and $69.62 per hour, depending on experience, location, and employer.

What are Google Cloud Machine Learning Engineers?

Google Cloud Machine Learning Engineers are professionals who design, build, and deploy machine learning models using Google Cloud Platform (GCP) services and tools. They work with large datasets, develop scalable ML solutions, and collaborate with data scientists and software engineers. Their role often includes automating data pipelines, optimizing model performance, and ensuring the reliability and security of ML deployments on the cloud. These engineers have expertise in both machine learning algorithms and cloud infrastructure, making them key contributors to data-driven projects.

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

To thrive as a Google Cloud Machine Learning Engineer, you need strong programming skills in Python or Java, a deep understanding of machine learning algorithms, and a degree in computer science or a related field. Familiarity with Google Cloud Platform (GCP) services such as Vertex AI, BigQuery, TensorFlow, and relevant certifications like the Professional Machine Learning Engineer certification is highly valuable. Excellent problem-solving abilities, collaboration, and clear communication make someone stand out in this position. These skills and qualities are critical for designing, deploying, and optimizing scalable ML solutions that meet business objectives in cloud environments.

What is the salary of an aiml engineer in Google?

A Google Cloud Machine Learning Engineer typically earns a salary ranging from $120,000 to $180,000 annually, depending on experience, location, and level within the company. Compensation may also include bonuses, stock options, and benefits, with higher salaries often associated with advanced skills in cloud platforms and machine learning frameworks.

How much do machine learning engineers make at GCP?

Machine learning engineers at Google Cloud Platform (GCP) typically earn between $120,000 and $180,000 annually, depending on experience, location, and level. Salaries can increase with specialized skills in cloud services, data modeling, and certifications like Google Cloud Professional Machine Learning Engineer.

What is the difference between Google Cloud Machine Learning Engineer vs Data Scientist?

AspectGoogle Cloud Machine Learning EngineerData Scientist
Required CredentialsGoogle Cloud certifications, programming skills, ML knowledgeStatistics, data analysis, programming, often with advanced degrees
Work EnvironmentCloud platforms, coding, deploying ML modelsData analysis, modeling, reporting, often in research or business settings
Employer & Industry UsageTech companies, cloud service providers, enterprises using Google CloudVarious industries including finance, healthcare, marketing, research

Google Cloud Machine Learning Engineers focus on developing and deploying ML models on Google Cloud, requiring cloud certifications and coding skills. Data Scientists analyze data, build models, and generate insights, often with advanced degrees. While both roles work with data and ML, the Engineer role emphasizes cloud deployment and infrastructure, whereas Data Scientists focus on data analysis and modeling.

What engineers make $500,000?

Senior engineers in high-demand fields such as software development, data science, and machine learning can earn $500,000 or more annually, especially with extensive experience, specialized skills, and leadership roles. Roles like senior software engineers, machine learning engineers, and technical architects often reach this compensation level in large tech companies or through equity and bonuses.

Does Google hire machine learning engineers?

Yes, Google hires machine learning engineers to develop and implement AI and machine learning solutions across various products and services. These roles typically require expertise in programming, data analysis, and familiarity with tools like TensorFlow and Google Cloud Platform.

What are some typical cross-functional collaborations for a Google Cloud Machine Learning Engineer?

As a Google Cloud Machine Learning Engineer, you'll frequently work alongside data scientists, software engineers, and product managers to design, deploy, and maintain machine learning solutions at scale. Collaboration often involves translating business requirements into machine learning pipelines, integrating models into cloud-based applications, and ensuring that solutions are robust, secure, and scalable. Regular communication with DevOps and infrastructure teams is also common to optimize model deployment and monitor performance. This cross-disciplinary teamwork is crucial for delivering impactful, production-ready AI solutions.
What are popular job titles related to Google Cloud Machine Learning Engineer jobs in Raleigh, NC? For Google Cloud Machine Learning Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Google Cloud Machine Learning Engineer jobs in Raleigh, NC look for? The top searched job categories for Google Cloud Machine Learning Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Google Cloud Machine Learning Engineer jobs? Cities near Raleigh, NC with the most Google Cloud Machine Learning Engineer job openings:
Google Cloud Machine Learning Engineer jobs near you

Google Cloud Engineer (GECX)

Telus Digital

Durham, NC • On-site, Remote

$53.75 - $72/hr

Full-time

Posted 6 days ago

TELUS Digital rating

7.6

Company rating: 7.6 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

91st of 204 rated it services

Job description

Who We Are
Welcome to TELUS Digital - where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS, one of Canada's largest telecommunications providers, we design and deliver transformative customer experiences through cutting-edge technology, agile thinking, and a people-first culture.
In January 2023, TELUS Digital acquired WillowTree, creating a combined firm with service offerings spanning Customer Experience and Digital Solutions.
With a global team across North America, South America, Central America, Europe, and APAC, we offer end-to-end expertise across eight core service areas: Digital Product Consulting, Digital Marketing Services, Data & AI, Strategy Consulting, Business Operations Modernization, Enterprise Applications, Cloud Engineering, and QA & Test Engineering.
From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions, TELUS Digital enables seamless, trusted, and digitally powered experiences that meet customers wherever they are - all backed by the secure infrastructure and scale of our multi-billion-dollar parent company.
Location & Flexibility
This role will operate remotely in the United States or based out of one of our major North American office locations - Charlottesville, VA, Durham, NC, Columbus, OH, and Boston, MA.
The Opportunity
TELUS Digital is seeking a Google CX Engineer to lead the architecture and technical development for our Gemini Enterprise Customer Experience (GECX) solutions. This is a high-impact individual contributor role responsible for building the scalable, secure, and integrated Google Cloud environments that power our most advanced conversational AI and agentic workforce implementations across app, web, and CCaaS platforms.
You will play a critical role in expanding our expertise in Conversational Agents, Agent Assist, and Conversational Insights, ensuring TELUS Digital continues to lead in AI-powered customer experience transformation. The role requires a combination of strategic execution, technical understanding of Google CES products, and strong business acumen.
Responsibilities
Solution Development & Innovation
  • Stay current on Google CES advancements, generative AI, and NLP trends to recommend and integrate new capabilities.
  • Contribute to the development of innovative solutions and accelerators on the Google CES platform.
    Ensure delivery excellence and solution scalability by applying best practices and proven technical approaches.
  • Encourage a culture of innovation and continuous improvement within the team.
Cloud Infrastructure Engineering
  • Lead the architecture and development of Google Cloud environments specifically optimized for Gemini Enterprise Customer Experience (GECX) deployments.
  • Design and implement secure integrations between GECX, Google Cloud AI services and external platforms, including defining and configuring real-time CCaaS audio ingestion methods such as SIPREC and gRPC, as well as mobile applications and web interfaces.
  • Configure identity and access management (IAM) and secure service accounts to ensure governed access to GECX components.

Qualifications
  • Bachelor's degree in Computer Science, Engineering, Business, or related field; advanced degree is an asset.
  • 5+ years of experience in technology consulting, digital transformation, or customer experience, with a focus on AI/ML solutions.
  • Preferred: Active Google Cloud Professional Certifications such as Professional Cloud Architect, Professional Machine Learning Engineer, or Professional Data Engineer.
  • Practical expertise with Google Customer Engagement Services (formerly CCAI).
  • Proven success delivering AI/ML-powered customer engagement or contact center solutions.
  • Strong understanding of customer experience design, contact center operations, and key CX metrics.
  • Excellent communication and presentation skills for both executive and technical audiences.

Equal Opportunity Employer
At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants' qualifications, merits, competence and performance without regard to any characteristic related to diversity.
We will only use the information you provide to process your application and to produce tracking statistics. Since we do not request personal data deemed sensitive, we ask you to abstain from sharing that information with us.
For more information on how we use your information, see our Privacy Policy.

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