Cloud AI Engineer, Global Services Delivery

1 Month ago • All levels • Artificial Intelligence

Job Summary

Job Description

As a Cloud AI Engineer, you'll design and implement machine learning solutions for customers using Google Cloud Platform (GCP) products. You will work directly with clients, identifying business transformation opportunities using machine learning. This involves travel to client sites for solution deployment and workshops. You'll also monitor application performance, debug code, and address customer needs. Responsibilities include delivering big data and machine learning solutions, serving as a technical advisor, identifying product feature gaps, and collaborating with product managers and engineers. You'll also create best practices, tutorials, and presentations for various stakeholders. Fluency in English and Spanish is required for client interaction in the specified region.
Must have:
  • Bachelor's degree in CS or related field
  • Experience building ML solutions (Python, Scala, or R)
  • Data structures, algorithms, software design knowledge
  • Fluent English and Spanish
  • Up to 30% travel
Good to have:
  • Experience with recommendation engines
  • Data pipelines or distributed machine learning
  • Data analytics, visualization, deep learning frameworks
  • Software development, professional services, solution engineering
  • Data warehousing concepts (Hadoop, Spark, etc.)
  • Cloud computing knowledge

Job Details


Minimum qualifications:

  • Bachelor's degree in Computer Science or related technical field, or equivalent practical experience.
  • Experience building ML solutions, including software development in Python, Scala, or R, and experience in data structures, algorithms, and software design.
  • Ability to communicate in English and Spanish fluently to support client relationship management in this region.
  • Ability to travel up to 30% of the time as needed.

Preferred qualifications:

  • Experience working with recommendation engines, data pipelines or distributed machine learning, and with data analytics, data visualization techniques and software, and deep learning frameworks.
  • Experience in software development, professional services, solution engineering and technical consulting, along with architecting and deploying new technology and solution initiatives.
  • Experience with Data Science techniques.
  • Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments (Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume).
  • Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks.
  • Excellent communication skills.

About the job

The Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. You listen to the customer and swiftly problem-solve technical issues to show how our products can make businesses more productive, collaborative, and innovative. You work closely with a cross-functional team of web developers and systems administrators, not to mention a variety of both regional and international customers. Your relationships with customers are crucial in helping Google grow its Cloud business and helping companies around the world innovate.

As a Cloud Engineer, you will play a key role in ensuring that customers have the best experience moving to the Google Cloud machine learning (ML) suite of products. You will design and implement machine learning solutions for customer use cases, leveraging core Google products. You will work with customers to identify opportunities to transform their business with machine learning, and will travel to customer sites to deploy solutions and deliver workshops designed to educate and empower customers to realize the full potential of Google Cloud. You will have access to Google’s technology to monitor application performance, debug and troubleshoot product code, and address customer and partner needs. In this role, you will lead the execution of adopting the Google Cloud Platform solutions to the customer.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge 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.

Responsibilities

  • Deliver big data and machine learning solutions and solve technical customer challenges.
  • Serve as a trusted technical advisor to Google’s customers.
  • Identify new product features and feature gaps, provide guidance on existing product challenges, and collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform.
  • Deliver best practices recommendations, tutorials, blog articles, and technical presentations adapting to different levels of key business and technical stakeholders.

Similar Jobs

Kaedim - Customer Success Engineer

Kaedim

London, England, United Kingdom (On-Site)
1 Year ago
Google - Site Reliability Manager, Platforms and Devices, SRE

Google

Bengaluru, Karnataka, India (On-Site)
1 Month ago
Google - Software Developer III, Site Reliability Development

Google

Waterloo, Ontario, Canada (On-Site)
1 Month ago
Google - Software Engineer II, Chrome Web Store

Google

Warsaw, Masovian Voivodeship, Poland (On-Site)
1 Month ago
commerce iq - Data Scientist II

commerce iq

Bengaluru, Karnataka, India (On-Site)
1 Month ago
Inworld AI - AI Trainer (Contractor) - Writing & Gaming

Inworld AI

Mountain View, California, United States (Remote)
2 Months ago
PwC - Manager_Conversational AI Developer_Advisory Corporate_Advisory_Bangalore

PwC

Bengaluru, Karnataka, India (On-Site)
8 Months ago
Microsoft - Platform Engineering Manager

Microsoft

Redmond, Washington, United States (Hybrid)
2 Months ago
Cricketpedia - AI Engineer

Cricketpedia

Gurugram, Haryana, India (Remote)
2 Years ago
ByteDance - Research Scientist Graduate (Foundation Model - Generative AI) - 2025 Start (PhD)

ByteDance

Seattle, Washington, United States (On-Site)
5 Months ago

Get notifed when new similar jobs are uploaded

Similar Skill Jobs

Google - Senior Staff Software Engineer, Google Cloud

Google

(On-Site)
5 Months ago
QuinStreet - Inside Sales Representative

QuinStreet

Orlando, Florida, United States (Hybrid)
1 Month ago
WebTech Corporation - Intern - Engineering

WebTech Corporation

Bengaluru, Karnataka, India (On-Site)
1 Month ago
Genies - Applied Mathematics Intern

Genies

Los Angeles, California, United States (On-Site)
2 Months ago
High Moon Studios - Gameplay Engineer

High Moon Studios

Carlsbad, California, United States (Hybrid)
1 Month ago
NVIDIA - Senior GPU Architect

NVIDIA

Austin, Texas, United States (On-Site)
3 Months ago
Google - Software Engineer III, Transformative Compute SRE

Google

Warsaw, Masovian Voivodeship, Poland (On-Site)
1 Month ago
Fluence - Jr. Controls Engineer (m/f/d) - German speaker

Fluence

Erlangen, Bavaria, Germany (Hybrid)
7 Months ago
Fairmatic - Senior Data Scientist

Fairmatic

Tel Aviv-Yafo, Tel Aviv District, Israel (Hybrid)
1 Month ago
Guru Studio - YouTube & Social Media Content Creator

Guru Studio

Ontario, Canada (Hybrid)
2 Months ago

Get notifed when new similar jobs are uploaded

Jobs in Mexico City, Mexico City, Mexico

Aristocrat Gaming - Head of Customer Support & Risk

Aristocrat Gaming

Santiago De Querétaro, Querétaro, Mexico (On-Site)
1 Month ago
Microsoft - Software Engineer II

Microsoft

Mexico City, Mexico City, Mexico (On-Site)
1 Month ago
Xepelin - Operations Associate

Xepelin

Mexico City, Mexico (Hybrid)
3 Weeks ago
Scopely - Senior Data Analyst, Marketing Analytics

Scopely

Mexico City, Mexico (Hybrid)
1 Month ago
LTI Mindtree - SAP FICO

LTI Mindtree

Mexico City, Mexico (On-Site)
1 Month ago
Salesforce - Technical Architect

Salesforce

Mexico City, Mexico (On-Site)
8 Months ago
Amber - Senior Unreal Game Engineer (Project Based)

Amber

Guadalajara, Jalisco, Mexico (On-Site)
11 Months ago
Google - Senior Software Engineer, Dagger, Core

Google

Mexico City, Mexico City, Mexico (On-Site)
1 Month ago
LTI Mindtree - Senior Specialist - Package Implementation

LTI Mindtree

Mexico City, Mexico (On-Site)
3 Weeks ago
Tala - Operations Director

Tala

Mexico City, Mexico (Hybrid)
1 Month ago

Get notifed when new similar jobs are uploaded

Artificial Intelligence Jobs

Google - Applied AI Customer Engineer, Google Cloud

Google

Paris, Île-de-France, France (On-Site)
1 Month ago
PwC - Senior AI Developer - Roma [DIG]

PwC

Rome, Lazio, Italy (On-Site)
8 Months ago
DEVOTEAM - Data Driven | MLOps Engineer

DEVOTEAM

Lisbon, Lisbon, Portugal (Remote)
7 Months ago
The Walt Disney Company - Principal Machine Learning Engineer, AI Architecture - Ad Platforms

The Walt Disney Company

Santa Monica, California, United States (On-Site)
1 Month ago
Virtuos - Senior Machine Learning Engineer (Game)

Virtuos

Malaysia (On-Site)
1 Month ago
Vigaet - Internship -AI Agents

Vigaet

(Remote)
6 Months ago
Google - Senior Software Engineer, AI/ML GenAI, Google Cloud

Google

Sunnyvale, California, United States (On-Site)
1 Month ago
Google - Staff Software Engineer, Network Management

Google

Sunnyvale, California, United States (On-Site)
1 Month ago
Rackspace Technology - Machine Learning Architect (AWS)

Rackspace Technology

(Remote)
1 Month ago
Meta - Software Engineer, Machine Learning

Meta

Sunnyvale, California, United States (On-Site)
6 Months ago

Get notifed when new similar jobs are uploaded