Remote Software Engineer — Ai Qa Coder For Model Training

Outlier; Quilmes; Remote; ARS 139,474,000 - 201,463,000; Full time

Job summary

Google Cloud Consulting Professional Services seeks a Cloud AI Engineer to design and deploy ML solutions for customer use cases, including agentic AI workflows, using TensorFlow, DataFlow, and Vertex AI. Travel to customer sites will be required to deploy solutions and run workshops.

The role emphasizes collaboration with Product Management and Engineering, deep cloud expertise, and the ability to communicate in English with technical customers. In-person interviews preferred.

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.

Responsibilities

• Design and implement machine learning solutions for customer use cases.
• Travel to customer sites to deploy solutions and deliver workshops.
• Collaborate with Product Management and Product Engineering to build and improve Google Cloud products.

Skills

Machine Learning engineering

Python programming

Cloud architecture

English communication

Mentoring

Education

Bachelor's degree in Computer Science

Tools

TensorFlow

PyTorch

XGBoost

Apache Beam

Hadoop

Spark

Pig

Hive

Job description

Cloud Engineer, Application Modernization, Gemini Enterprise and AI Agents, Google Professional S...

Cloud AI Engineer, Google Cloud (English)

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**.

• 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.

• 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,