Cloud Developer II, AI/ML, Professional Services

2 Days ago • 6 Years + • Artificial Intelligence • $147,000 PA - $216,000 PA

Job Summary

Job Description

As a Cloud Developer II, AI/ML, you'll design and implement machine learning solutions for Google Cloud customers, leveraging TensorFlow, DataFlow, and Vertex AI. You'll collaborate with clients to identify ML opportunities, deploy solutions, and conduct workshops. Responsibilities include acting as a technical advisor, coaching customers on practical ML aspects (feature engineering, data validation, monitoring), delivering tailored solutions, creating best-practice recommendations, and potentially traveling up to 30% for on-site work. You'll work with Google's largest Cloud customers, supporting implementation through architecture guidance, best practices, data migration, capacity planning, troubleshooting, and monitoring. The role involves close collaboration with Product Management and Engineering teams.
Must have:
  • Bachelor's degree in CS or equivalent
  • 6+ years building ML solutions
  • Cloud enterprise solution design experience
  • Experience with Python, Java, Go, C/C++
  • Customer project support to completion
Good to have:
  • Experience with deep learning frameworks (TensorFlow, PyTorch, XGBoost)
  • Experience with recommendation engines, data pipelines, or distributed ML
  • Knowledge of data warehousing concepts (Hadoop, Spark, etc.)
  • Understanding of production ML system concerns

Job Details


Minimum 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 with deep learning frameworks (e.g., Tensorflow, pyTorch, XGBoost).
  • Experience working with recommendation engines, data pipelines, or distributed machine learning.
  • Knowledge of data warehousing concepts, including data warehouse technical architectures, 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.

In this role, 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 Engineering to build and constantly drive excellence in our products.

You will be working with Google's largest and most ambitious Cloud customers. Together with the team you will support customer implementation of Google Cloud products through architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, etc.

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.

For United States only:

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 .

Responsibilities

  • Be a trusted technical advisor to customers and solve complex machine learning tests.
  • Coach customers on the practical tests 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 into production.
  • Create and deliver best practice recommendations, tutorials, blog articles, and sample code.
  • Travel up to 30% for in-region for meetings, technical reviews, and onsite delivery activities.

Similar Jobs

Google - Software Engineer III, Full Stack, Google Assistant

Google

Los Angeles, California, United States (On-Site)
2 Weeks ago
ION - Technical Consultant - Endur

ION

New York, New York, United States (On-Site)
6 Months ago
Ness Digital - Solution Architect (Media and Entertainment)

Ness Digital

Romania (On-Site)
3 Months ago
Netflix - Enablement Manager - Engineering Support

Netflix

Warsaw, Masovian Voivodeship, Poland (On-Site)
2 Weeks ago
Next Level Business Services - ATG Architect

Next Level Business Services

Bolingbrook, Illinois, United States (On-Site)
6 Months ago
Meta - Software Engineer, Systems ML - SW/HW Co-design

Meta

Seattle, Washington, United States (Remote)
5 Months ago
Google - Senior Software Engineer, Machine Learning, Applied AI

Google

Sunnyvale, California, United States (On-Site)
2 Weeks ago
Meta - Software Engineer, Machine Learning

Meta

San Francisco, California, United States (On-Site)
5 Months ago
Google - Customer Engineer, Cloud AI, Google Cloud

Google

New York, New York, United States (On-Site)
2 Weeks ago
Google - Senior Software Engineer, Google Cloud AI

Google

Warsaw, Masovian Voivodeship, Poland (On-Site)
2 Days ago

Get notifed when new similar jobs are uploaded

Similar Skill Jobs

ION - Senior DevSecOps Engineer, Italy

ION

Milan, Lombardy, Italy (On-Site)
6 Months ago
Meta - Software Engineer, Infrastructure

Meta

Redmond, Washington, United States (Remote)
5 Months ago
Netflix - Sr. QA Test Lead

Netflix

United States (Remote)
2 Weeks ago
Playtika - Java Tech Lead

Playtika

Poland (Hybrid)
6 Months ago
Alphasense - Software Engineer II, Full Stack

Alphasense

Delhi, India (On-Site)
7 Hours ago
Google - Software Engineering Manager (For Women in Tech Candidates)

Google

State Of Minas Gerais, Brazil (On-Site)
4 Months ago
Mashgin - Senior Software Engineer, Product

Mashgin

Palo Alto, California, United States (Hybrid)
6 Months ago
N-iX - Lead DevOps Engineer

N-iX

Ukraine (Remote)
1 Month ago

Get notifed when new similar jobs are uploaded

Jobs in Atlanta, Georgia, United States

Riot Games - Staff Software Engineer, Gameplay

Riot Games

Los Angeles, California, United States (On-Site)
20 Hours ago
Meta - Software Engineer, Machine Learning

Meta

Seattle, Washington, United States (On-Site)
5 Months ago
DraftKings - Manager, Marketing Operations, Budget & Spend

DraftKings

Boston, Massachusetts, United States (On-Site)
2 Weeks ago
Biofire DX - Lab Technologist - QC (Night Shift)

Biofire DX

Salt Lake City, Utah, United States (On-Site)
1 Month ago
Google - CPU Architecture Lead

Google

Poughkeepsie, New York, United States (On-Site)
2 Weeks ago
Everyday Health Group - Principal Software Engineer, Android

Everyday Health Group

Boston, Massachusetts, United States (Remote)
1 Month ago
Sphere Entertainment Co - Senior Manager, B2B Marketing

Sphere Entertainment Co

Las Vegas, Nevada, United States (On-Site)
2 Months ago
Riot Games - Insights Analyst III - VALORANT, Cross VALORANT Experience

Riot Games

Los Angeles, California, United States (On-Site)
2 Months ago
Next Level Business Services - Oracle DBA (With SAP Experience)

Next Level Business Services

Austin, Texas, United States (On-Site)
6 Months ago
Epic Games - Senior Policy Manager, Trust & Safety

Epic Games

Cary, North Carolina, United States (On-Site)
3 Months ago

Get notifed when new similar jobs are uploaded

Artificial Intelligence Jobs

ByteDance - Senior Software Engineer - Generative AI

ByteDance

San Jose, California, United States (On-Site)
3 Months ago
ByteDance - Research Engineer / Scientist - AI for Databases

ByteDance

San Jose, California, United States (On-Site)
3 Days ago
GT - AI/ML Engineer

GT

(Remote)
1 Month ago
Google - Principal Technology Strategist, Cloud Space

Google

Sunnyvale, California, United States (On-Site)
1 Week ago
Google - Technical Program Manager III, NPI System Software, Cloud AI Systems

Google

Sunnyvale, California, United States (On-Site)
2 Weeks ago
Google - Software Engineer, Compiler, Scheduling and Optimization, Silicon

Google

Bellevue, Washington, United States (On-Site)
1 Week ago
ByteDance - Large Language Model Algorithm Engineer - Volcano Ark

ByteDance

Singapore (On-Site)
6 Months ago
Google - Lead Group Product Manager, Vertex AI Platform Development

Google

Kirkland, Washington, United States (On-Site)
2 Days ago
Haptic - Senior AI/ML Engineer

Haptic

Paris, Île-de-France, France (Remote)
4 Months ago
Microsoft - Senior Principal Researcher - Deep Learning & AI

Microsoft

New York, New York, United States (On-Site)
1 Week ago

Get notifed when new similar jobs are uploaded

About The Company

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

Mountain View, California, United States (On-Site)

Mountain View, California, United States (On-Site)

Bengaluru, Karnataka, India (On-Site)

Bengaluru, Karnataka, India (On-Site)

Bengaluru, Karnataka, India (On-Site)

Bengaluru, Karnataka, India (On-Site)

Bengaluru, Karnataka, India (On-Site)

View All Jobs

Get notified when new jobs are added by Google

Level Up Your Career in Game Development!

Transform Your Passion into Profession with Our Comprehensive Courses for Aspiring Game Developers.

Job Common Plug