AI Infrastructure Engineer at Google | Bavaria, DE | Rezi

AI Infrastructure Engineer at Google

AI Infrastructure Engineer

Google · Bavaria, DE

1 months ago

AI Infrastructure Engineer

Google · Bavaria, DE

2 months ago
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About the Role

The Google Cloud Consulting Professional Services team guides customers through critical moments in their cloud journey to help businesses thrive. As a Cloud AI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products. You will work with customers to identify opportunities to apply machine learning in their business, deploy solutions, and educate customers. You will collaborate closely with product management and product engineering to drive product excellence.

Responsibilities

  • Act as a trusted technical advisor to customers, solving complex machine learning challenges.
  • Coach customers on practical challenges in machine learning systems, including feature extraction, data validation, monitoring, and model management.
  • Collaborate 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.
  • Travel up to 30% for in-region meetings, technical reviews, and onsite delivery activities.

Requirements

  • 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 coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design.
  • Experience working with recommendation engines, data pipelines, or distributed machine learning.
  • Experience with deep learning frameworks (e.g., TensorFlow, 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).
  • Understanding of the auxiliary practical concerns in production machine learning systems.

Skills

  • Machine Learning
  • Cloud Enterprise Solutions
  • Python
  • Java
  • Go
  • C
  • C++
  • Data Structures
  • Algorithms
  • Software Design
  • Recommendation Engines
  • Data Pipelines
  • Distributed Machine Learning
  • TensorFlow
  • XGBoost
  • Data Warehousing
  • ETL
  • ELT
  • Apache Beam
  • Hadoop
  • Spark
  • Pig
  • Hive
  • MapReduce
  • Production Machine Learning Systems

Experience Level

  • 3 years of experience

Education Level

  • Bachelor's degree in Computer Science

Salary/Compensations

  • Germany: €100000 - €102000 (EUR) + 15% bonus target + equity + benefits

Benefits

  • 15% bonus target
  • equity
  • benefits

About the Company

  • Google Cloud accelerates every organization’s ability to digitally transform its business and industry.
  • We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably.
  • Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.