Cloud Engineer, Data and AI, Google Cloud

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NieokreśloneOn-site·WarszawaFull-time

#472311·Dodano wczoraj·0

Źródło: Google

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Tech Stack / Keywords

Google Cloud TensorFlowDataFlowVertex AIPython Java Go C++Apache BeamSpark

Podsumowanie oferty

Design and implement machine learning solutions for customer use cases using TensorFlow, DataFlow, and Vertex AI. Advise customers on applying machine learning and support the implementation of Google Cloud products in production.

Wymagania

Bachelor's degree in Computer Science or equivalent practical experience.
Experience building machine learning solutions and working with technical customers.
Experience designing cloud enterprise solutions and supporting customer projects to completion.
Experience coding in one or more general-purpose languages, including Python, Java, Go, C, or C++, with knowledge of data structures, algorithms, and software design.

Nice to have:

Experience working with recommendation engines, data pipelines, or distributed machine learning.
Experience with deep learning frameworks such as TensorFlow, PyTorch, or XGBoost.
Knowledge of data warehousing concepts, including technical architectures, infrastructure components, ETL/ELT, and reporting or analytics tools and environments such as Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, or Flume.
Solid understanding of practical concerns in production machine learning systems.

Obowiązki

Advise customers and solve complex machine learning challenges.
Coach customers on practical machine learning systems topics, including feature extraction and definition, data validation, monitoring, and feature and model management.
Work with customers, partners, and Google Product teams to deliver tailored solutions into production.
Create and deliver best-practice recommendations, tutorials, blog articles, and sample code.

Benefity

15% bonus target.
Equity.

Premie

Udziały pracownicze

Inne informacje

Travel up to 30% in-region for meetings, technical reviews, and onsite delivery activities.
In most instances, the hiring process requires in-person interviews.

Google

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