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Google Certified Machine Learning Engineer Jobs

Cymertek

Machine Learning Engineer

Reston, VA · On-site

Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure) * Strong problem-solving skills and analytical thinking REQUIRED SKILLS * Proficiency in programming ...

Cymertek Corporation

Machine Learning Engineer

Aurora, CO · On-site

$150 - $200/hr

Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure) * Strong problem‑solving skills and analytical thinking REQUIRED SKILLS * Proficiency in programming ...

Booz Allen Hamilton

Machine Learning Engineer

Aurora, CO

$77K - $176K/yr

Experience with operationalizing software in the cloud such as AWS, Microsoft Azure, or Google ... Security+ Certification Clearance: Applicants selected will be subject to a security investigation ...

CYNET SYSTEMS

Machine Learning Engineer

San Jose, CA · On-site

$55 - $60/hr

Hands-on experience with a major cloud provider, with a strong preference for Google Cloud Platform ... As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is ...

Forhyre

Machine Learning Engineer

New York, NY

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...

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Google Certified Machine Learning Engineer information

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

As of Sep 9, 2026, the average hourly pay for google certified machine learning engineer in the United States is $62.98, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $70.91 per hour, depending on experience, location, and employer.

What is a Google Certified Machine Learning Engineer?

Google Certified Machine Learning Engineers are professionals who have demonstrated proficiency in designing, building, and deploying machine learning models using Google Cloud technologies. They are certified through Google’s rigorous exam, which assesses skills in data preparation, model development, productionalization, and responsible AI practices. These engineers are equipped to solve real-world business problems using advanced machine learning techniques and Google Cloud tools. Earning this certification validates expertise and can enhance career opportunities in the rapidly growing field of machine learning.

What types of projects does a Google Certified Machine Learning Engineer typically work on within a team setting?

Google Certified Machine Learning Engineers often collaborate with data scientists, software engineers, and product managers to design, implement, and deploy machine learning models. Their projects can include developing recommendation systems, automating data analysis, or improving business processes through predictive analytics. They are usually responsible for ensuring model accuracy, scalability, and integration into existing systems, while also participating in code reviews and knowledge sharing sessions. This collaborative environment fosters both technical growth and cross-functional learning.

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

To thrive as a Google Certified Machine Learning Engineer, you need a solid background in computer science, statistics, and applied mathematics, typically supported by experience in designing and deploying machine learning models. Mastery of tools such as TensorFlow, Python, Google Cloud Platform (GCP), and the relevant Google ML Engineer certification is usually required. Strong problem-solving abilities, communication skills, and a collaborative mindset help you translate complex models into actionable business solutions and work effectively with stakeholders. These competencies are critical for building scalable, impactful machine learning systems that drive innovation and deliver value in real-world applications.

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

AspectGoogle Certified Machine Learning EngineerData Scientist
CertificationsGoogle Cloud Certified Professional Machine Learning EngineerOften no specific certification required, but certifications like Google Data Analytics or Python are common
Work EnvironmentFocus on deploying ML models on Google Cloud, working with cloud toolsData analysis, statistical modeling, and visualization, often in various environments
Industry UsagePrimarily in tech, cloud services, AI developmentBroadly across finance, healthcare, marketing, and tech

The Google Certified Machine Learning Engineer specializes in deploying and managing ML models on Google Cloud, often requiring specific cloud certifications. Data Scientists focus on analyzing data, building models, and deriving insights across various industries, with less emphasis on cloud deployment. Both roles overlap in data handling and modeling but differ in their primary focus and required credentials.

What are popular job titles related to Google Certified Machine Learning Engineer jobs?

For Google Certified Machine Learning Engineer jobs, the most frequently searched job titles are:

Infographic showing various Google Certified Machine Learning Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 23% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $131,001 per year, or $63 per hour.

Machine Learning Engineer

Austin, TX • On-site

Adidev Technologies Inc
IT Services • 11 - 50 employees
Learn more about Adidev Technologies Incexternal

Full-time

Re-posted 27 days ago

Job description

Role: Jr-Mid Machine Learning Engineer
(This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.)
Summary:
Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients.
About Adidev Technologies Inc.
Adidev Technologies,(www.adidevtechnologies.com) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company - we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation.
Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience.
Global Presence: Our diverse employee workforce spans four continents.
Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA.
How We'll Guide You
Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients.
Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success.
Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients.
Career Growth: We facilitate industry experience to propel your technical journey forward.
Key Responsibilities:
• Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions.
• Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring.
• Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.
• Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences.
• Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement.
• Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency.
• Conduct exploratory data analysis to extract valuable insights and influence strategic decisions.
• Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks.
• Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices.
Requirements:
• Degree in Computer Science, Engineering, Statistics, or a related technical field.
• Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains.
• Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings.
• Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems.
• Strong foundational understanding of algorithmic complexity and data structure optimization.
• Excellent problem-solving, collaboration, and communication abilities.
• Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI.
• Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.
• Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects.
• Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
• Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures.
• Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices.
• Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team.
• Ensure all AI implementations are compliant with ethical guidelines and data privacy standards.
How to Apply:
Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise.
Perks and Beyond!
Competitive salary range: Based on experience and market value
Pack your bags! Paid relocation is on us.
Support, even from afar, with our remote assistance.
Regular salary reviews? You betcha!
Ready to Embark?
we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth.
Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Apply