AI Engineer, Professional Services, Google Cloud

Job description

Minimum qualifications: - Bachelor's degree in Computer Science, or equivalent practical experience. - 8 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. Preferred qualifications: - Experience working with recommendation engines, data pipelines, or distributed machine learning. - Experience with deep learning frameworks (e.g., TensorFlow, PyTorch, XGBoost). - Understanding of the auxiliary practical concerns in production machine learning systems. - 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). 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 evolv...