Senior Backend Engineer (Java/Kotlin) | Azure Serverless

BairesDev; Buenos Aires; Remote; ARS 154,540,000 - 278,173,000; Full time

Job summary

Google Cloud is seeking a Cloud AI Engineer to design and implement ML solutions for customer use cases, leveraging TensorFlow, DataFlow, and Vertex AI. You will collaborate with customers to identify opportunities to apply ML in their business and travel to customer sites for deployments and workshops.

You will work with Google Cloud customers to provide architecture guidance, data migration, capacity planning, and production deployment support, while partnering with Product teams to

Qualifications

• Bachelor's degree in Computer Science or equivalent practical experience.

Responsibilities

• Be a trusted technical advisor to customers and solve complex machine learning challenges.
• Coach customers on practical challenges in ML systems: feature extraction, data validation, monitoring, and management of features and models.
• Work with Customers, Partners, and Google Product teams to deliver tailored ML solutions into production.
• Create and deliver best practice recommendations, tutorials, blog articles, and sample code.

Skills

Serverless

Azure Integration

Azure Functions

Logic Apps

Triggers

Bindings

Function Apps

Functions Core Tools

iPaaS

Event Grid

Azure Service Bus

Azure API Management

TensorFlow

PyTorch

XGBoost

Education

Bachelor's degree in Computer Science

Tools

TensorFlow

PyTorch

XGBoost

Job description

Google Cloud is seeking a Cloud AI Engineer to design and implement ML solutions for customer use cases, leveraging TensorFlow, DataFlow, and Vertex AI. You will collaborate with customers to identify opportunities to apply ML in their business and travel to customer sites for deployments and workshops.

You will work with Google Cloud customers to provide architecture guidance, data migration, capacity planning, and production deployment support, while partnering with Product teams to