Cloud AI Engineer, Global Services Delivery (Multiple Language)

Google Cloud accelerates organizations' digital transformation by delivering enterprise-grade solutions leveraging cutting-edge technology.
Machine Learning
Entry-Level Software Engineer
Hybrid
5,000+ Employees
AI · Enterprise SaaS · Cloud

Description For Cloud AI Engineer, Global Services Delivery (Multiple Language)

Google Cloud is seeking a Cloud AI Engineer to join their Global Services Delivery team. This role combines technical expertise in machine learning with customer-facing responsibilities, making it an exciting opportunity for those interested in both AI development and consulting. The position involves designing and implementing machine learning solutions using Google Cloud's suite of products while working directly with customers to transform their businesses through AI adoption.

As a Cloud AI Engineer, you'll be at the intersection of cutting-edge AI technology and business transformation, helping organizations leverage Google's machine learning capabilities. You'll need strong technical skills in Python, data structures, and ML frameworks, combined with excellent communication abilities to work effectively with both technical and business stakeholders. The role requires travel up to 30% of the time, allowing you to work directly with clients across Europe.

The ideal candidate will have experience with recommendation engines, data pipelines, and distributed machine learning systems. Knowledge of data warehousing concepts, cloud computing, and various big data technologies (like Apache Beam, Hadoop, Spark) is highly valued. You'll be part of Google Cloud's mission to accelerate digital transformation across industries, working with customers in over 200 countries.

This position offers the opportunity to influence product development by identifying feature gaps and collaborating with Product Managers. You'll also contribute to the broader tech community by delivering best practices, tutorials, and technical presentations. The role combines hands-on technical work with strategic consulting, making it ideal for someone who enjoys both building solutions and helping others succeed with technology.

Last updated 3 minutes ago

Responsibilities For Cloud AI Engineer, Global Services Delivery (Multiple Language)

  • Deliver big data and machine learning solutions and solve technical customer tests
  • Serve as a trusted technical advisor to Google's customers
  • Identify new product features and feature gaps, provide guidance on existing product tests
  • Collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform
  • Deliver best practices recommendations, tutorials, blog articles, and technical presentations

Requirements For Cloud AI Engineer, Global Services Delivery (Multiple Language)

Python
  • Bachelor's degree in Computer Science or related technical field, or equivalent practical experience
  • Experience in building ML solutions, including software development in Python, Scala, or R
  • Experience in data structures, algorithms, and software design
  • Ability to travel up to 30% of the time as needed
  • Ability to communicate in English and any additional European language

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