Senior Software Engineer - Full Stack (React/Node.js)

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.

Please submit your resume in English - we can only consider applications submitted in this language.

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 .

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 general 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.

Responsibilities:

- Be a trusted technical advisor to customers and solve complex machine learning challenges.
- Coach customers

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