Cloud AI DevOps Engineer — ML, CI/CD & Security

Acciona It; Quilmes; Remote; ARS 92,724,000 - 139,086,000; Full time

Job summary

Google Cloud Consulting Professional Services is seeking a Cloud AI Engineer to design and implement ML solutions for customer use cases using TensorFlow, DataFlow, and Vertex AI. You will identify opportunities to apply ML in business and travel to customer sites to deploy solutions and educate customers.

You will work with product management and engineering to continuously improve Google Cloud products and deliver production-grade ML workloads in collaboration with customers, partners, and

Qualifications

• Bachelor's degree in Computer Science or equivalent practical experience.
• 3 years of experience building ML solutions and working with technical customers.
• Experience designing cloud enterprise solutions and guiding customer projects to completion.
• Experience deploying custom ML models to production; DL frameworks; agentic AI workflows for business automation.
• Proficient in Python with data structures, algorithms, and software design.
• Strong English communication for customer-facing role.

Responsibilities

• Be a trusted technical advisor to customers and solve ML challenges.
• Coach customers on practical challenges in ML 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% in-region for meetings, technical reviews, and onsite delivery activities.

Skills

Machine learning

Python programming

English language

Education

Bachelor's degree in Computer Science or equivalent

Tools

TensorFlow

PyTorch

XGBoost

Apache Beam

Hadoop

Spark

Job description

Google Cloud Consulting Professional Services is seeking a Cloud AI Engineer to design and implement ML solutions for customer use cases using TensorFlow, DataFlow, and Vertex AI. You will identify opportunities to apply ML in business and travel to customer sites to deploy solutions and educate customers.

You will work with product management and engineering to continuously improve Google Cloud products and deliver production-grade ML workloads in collaboration with customers, partners, and