Google Cloud AI Engineer
Cloud AI Engineer
Minimum qualifications:
- Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
- Experience building machine learning or data science solutions.
- Experience writing software in Python, Scala, R, or similar.
- Experience with data structures, algorithms, and software design.
- Ability to travel up to 30% of the time.
Preferred qualifications:
- Experience working with recommendation engines, data pipelines, or distributed machine learning, data analytics, data visualization techniques and software, and deep learning frameworks.
- Experience in software development, professional services, solution engineering, technical consulting, architecting and rolling out new technology and solution initiatives.
- Experience with core data science techniques.
- Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks.
- Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, Extract, Transform, and Load (ETL)/Extract, Load and Transform (ELT) and reporting/analytic tools and environments.
- Excellent customer-facing communication and listening skills
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