Cloud Developer II, AI/ML, Google Cloud

Google Inc.; Toronto; On-site; CAD 206,000 - 303,000; Full time

Job summary

A leading tech company is seeking a Cloud AI Developer to design and implement machine learning solutions for clients. You will guide customers through their cloud journeys using Google’s technology. Successful candidates will have extensive experience in machine learning and coding in languages like Python and Java. This role also involves customer interaction and requires up to 30% travel in the region.

Benefits

Bonus

Equity

Comprehensive benefits

Qualifications

• 6 years of experience building machine learning solutions.
• Experience coding with general-purpose languages, such as Python or Java.
• Understanding of auxiliary concerns in production machine learning.

Responsibilities

• Act as a technical advisor to customers.
• Coach customers on feature extraction and data validation.
• Create and deliver best practice recommendations.

Skills

Machine learning solutions

Coding in Python, Java, Go, C, or C++

Experience with recommendation engines

Knowledge of data warehousing concepts

Deep learning frameworks

Education

Bachelor's degree in Computer Science or equivalent

Tools

TensorFlow

Apache Beam

Hadoop

Job description

corporate_fare Google place Austin, TX, USA; Toronto, ON, Canada; +3 more

Apply

Open until at least November 18, 2025. This opportunity will remain online based on business needs which may be before or after the specified date.

By applying to this position you will share your preferred working location from the following: Austin, TX, USA; Toronto, ON, Canada; Atlanta, GA, USA; Boulder, CO, USA; Chicago, IL, USA.

Qualifications

• Bachelor's degree in Computer Science or equivalent practical experience.
• 6 years of experience building machine learning solutions and working with technical customers.
• Experience designing cloud enterprise solutions and supporting customer projects to completion.
• Experience coding in one or more general‑purpose languages (e.g., Python, Java, Go, C, or C++) including data structures, algorithms, and software design.

Preferred qualifications

• Experience working with recommendation engines, data pipelines, or distributed machine learning.
• Experience with deep learning frameworks (e.g., Tensorflow, pyTorch, XGBoost).
• Knowledge of data warehousing concepts, including data warehouse technical developers, infrastructure components, ETL/ELT, and reporting/analytic tools and environments (e.g., Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume).
• Understanding of the auxiliary practical concerns in production machine learning systems.

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. As a Cloud AI Developer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities to apply machine learning in their business and travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Additionally, you will work closely with product management and product development to build and constantly drive excellence in our products. In this role, you are the Google developer working with Google’s most ambitious Cloud customers. Together with the team, you will support customer implementation of Google Cloud products through developer guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and much more.

The US base salary range for this full‑time position is $147,000-$216,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Act as a technical advisor to customers and solve machine learning issues.
• Coach customers on the practical issues in machine learning systems: feature extraction and feature definition, data validation, monitoring, and management of features and models.
• Work with customers, partners, and Google product teams to deliver tailored solutions to production.
• Create and deliver best practice recommendations, tutorials, blog articles, and sample code.
• Travel up to 30% in‑region for meetings, technical reviews, and onsite delivery activities.

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 or 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.

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.