Cloud AI Engineer IV, Google Cloud (Ciudad de México)

Cloud AI Engineer IV, Google Cloud (Ciudad de México)

03 oct
|
Google
|
Ciudad de México

03 oct

Google

Ciudad de México

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

📌 Cloud AI Engineer IV, Google Cloud (Ciudad de México)
🏢 Google
📍 Ciudad de México

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