Cloud AI Engineer & ML Solutions Lead

Blend; Quilmes; On-site; ARS 108,178,000 - 169,994,000; Full time

Job summary

Google Cloud is seeking an AI Analyst - Agentic AI, Backend & Data Developer to design and implement ML solutions for customer use cases using TensorFlow, DataFlow and Vertex AI. You will work with customers to identify opportunities to apply machine learning in their business.

You will travel to customer sites for deployments and workshops, collaborate with Product Management and Product Engineering, and help customers achieve scalable, production-ready ML workflows.

Qualifications

• Bachelor's degree in Computer Science or equivalent practical experience.
• 3 years of experience building ML solutions for technical customers.
• Experience designing cloud enterprise solutions and delivering customer projects.
• Experience deploying custom ML models to production and agentic AI workflows.
• Strong Python coding skills with data structures, algorithms, and design.
• Fluent English communication for a 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, data validation.

Skills

Machine learning

Python programming

English communication

Cloud solutions

Education

Bachelor's degree in Computer Science or equivalent practical experience

Tools

TensorFlow

PyTorch

XGBoost

Apache Beam

Hadoop/Spark

Job description

Google Cloud is seeking an AI Analyst - Agentic AI, Backend & Data Developer to design and implement ML solutions for customer use cases using TensorFlow, DataFlow and Vertex AI. You will work with customers to identify opportunities to apply machine learning in their business.

You will travel to customer sites for deployments and workshops, collaborate with Product Management and Product Engineering, and help customers achieve scalable, production-ready ML workflows.