Senior Java Engineer: Cloud Microservices & Ai-Tools

Outlier; Buenos Aires; On-site; ARS 139,086,000 - 216,357,000; Full time

Job summary

Google Cloud is seeking a Java Developer - Hybris - SAP Commerce Cloud oriented engineer to join our Cloud AI Engineering team in a customer-facing capacity. The role centers on designing and implementing ML solutions for client use cases, leveraging TensorFlow, DataFlow, and Vertex AI, while guiding customers through the cloud journey and ensuring successful project outcomes.

You will work closely with Product Management and Engineering, travel to customer sites for deployments, and contribute

Qualifications

• Ideally a Bachelor's in Computer Science or related field with hands-on ML experience.
• 3 years building ML solutions and working with technical customers.
• Experience designing cloud enterprise solutions and delivering customer projects to completion.
• Experience deploying ML models to production and building AI workflows for business automation.
• Strong Python programming skills including data structures and algorithms.
• Excellent English communication for a customer-facing role.

Responsibilities

• Be a trusted technical advisor to Google Cloud customers on ML challenges.
• Coach customers on practical ML system design and feature extraction.

Skills

Python

Machine learning

Cloud solutions

English fluency

Mentoring juniors

Education

Bachelor's degree in Computer Science

Tools

TensorFlow

PyTorch

XGBoost

Apache Beam

Hadoop

Spark

Job description

Java Developer - Hybris - SAP Commerce Cloud

Cloud AI Engineer, Google Cloud (English)

_corporate_fare_ Google _place_ Buenos Aires, Argentina; Mexico City, CDMX, Mexico

**Mid**

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

In most instances, this position requires in-person interviews as part of the hiring process.

Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **Buenos Aires, Argentina; Mexico City, CDMX, Mexico**.

**Minimum qualifications:**

• Bachelor's degree in Computer Science or equivalent practical experience.
• 3 years of experience building machine learning solutions and working with technical customers.
• Experience designing cloud enterprise solutions and supporting customer projects to completion.
• Experience building and deploying custom ML models into production, including experience with deep learning frameworks and with designing and deploying agentic AI workflows for business process automation.
• Experience coding in Python, including data structures, algorithms, and software design.
• Ability to communicate in English fluently as this is a customer-facing role.

**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 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.

As a Cloud AI Engineer, 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.

In this role, you will work with key Google 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, and much more.

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**

• Be a trusted technical advisor to customers and solve complex machine learning challenges.
• Coach customers on the practical challenges in machine learning systems: feature extraction