Senior Cloud Engineer — Backend, Edge & Bi

Webflow; Quilmes; Presencial; ARS 92.724.000 - 185.448.000; Tempo integral

Resumo da vaga

Google Cloud is seeking an AI Analyst - Agentic AI, Backend & Data Developer to join the Google Cloud Consulting Professional Services team. You will design and implement machine learning solutions for customer use cases, leveraging TensorFlow, DataFlow, and Vertex AI.

You will travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Minimum qualifications include a BS in CS, 3 years building ML solutions, Python proficiency, and fluent English for

Qualificações

• 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 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.

Responsabilidades

• Design and implement ML solutions for customer use cases leveraging core Google products (TensorFlow, DataFlow, Vertex AI).
• Identify opportunities to apply ML in clients' businesses and travel to customer sites to deploy solutions and deliver workshops.
• Collaborate with Product Management and Product Engineering to build and improve offerings for customers.

Conhecimentos

Machine learning

Python

Cloud computing

English fluency

Production ML systems

Mentoring

Formação

Bachelor's degree in Computer Science

Ferramentas

TensorFlow

PyTorch

XGBoost

DataFlow

Vertex AI

Apache Beam

Hadoop

Spark

Descrição da vaga

AI Analyst - Agentic AI, Backend & Data Developer

Cloud AI Engineer, Google Cloud (English)
Share 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.
Share Cloud AI Engineer, Google Cloud (English)
_info_outline_
XIn most instances, this position requires in-person interviews as part of the hiring process.

**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