Cloud AI Engineer, Global Services Delivery (Multiple Language)
Job Summary
Job Description
As a Cloud AI Engineer in Google's Global Services Delivery team, you'll ensure customers have a seamless experience transitioning to Google Cloud's machine learning (ML) suite. You'll design and implement ML solutions, work directly with clients to identify business transformation opportunities, and deploy solutions on-site. This role involves educating customers on Google Cloud's potential and troubleshooting technical issues. You'll collaborate with cross-functional teams, leverage Google's technology for performance monitoring and debugging, and lead the adoption of GCP solutions. The position requires strong communication skills and proficiency in multiple languages (English and at least one other European language) for client relationship management. You will also be responsible for delivering big data and machine learning solutions, serving as a trusted technical advisor, identifying product feature gaps, and collaborating with product managers and engineers to shape the Google Cloud Platform roadmap. Furthermore, you'll create best practices recommendations, tutorials, and technical presentations.
Must have:
- Bachelor's degree in CS or related field
- Experience building ML solutions in Python, Scala, or R
- Data structures, algorithms, and software design expertise
- Excellent communication skills
- Ability to travel up to 30%
- Fluency in English and one other European language
Good to have:
- Experience with recommendation engines
- Data pipeline/distributed ML experience
- Data analytics, visualization, and deep learning frameworks
- Software development, professional services, and consulting experience
- Data Science techniques
- Knowledge of data warehousing (Hadoop, Spark, etc.)
- Cloud computing knowledge (virtualization, hosted services, etc.)
14 skills required
Job Details
Minimum qualifications:
- Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
- Experience in building ML solutions, including software development in Python, Scala, or R, and in data structures, algorithms, and software design.
- Ability to travel up to 30% of the time as needed.
- Ability to communicate in English and any additional European language to support client relationship management in this region.
Preferred qualifications:
- Experience in working with recommendation engines, data pipelines or distributed machine learning, and with data analytics, data visualization techniques and software, and deep learning frameworks.
- Experience in software development, professional services, solution engineering and technical consulting with architecting and deploying technology and solution initiatives.
- Experience with Data Science techniques.
- Knowledge of data warehousing concepts with data warehouse technical architectures, infrastructure components, ETL/ELT and reporting tools and environments (e.g., Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume).
- Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks.
- Excellent communication skills.
About the job
The Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. You listen to the customer and swiftly problem-solve technical issues to show how our products can make businesses more productive, collaborative, and innovative. You work closely with a cross-functional team of web developers and systems administrators, not to mention a variety of both regional and international customers. Your relationships with customers are crucial in helping Google grow its Cloud business and helping companies around the world innovate.In this role, you will be ensuring that customers have the best experience moving to the Google Cloud machine learning (ML) suite of products. 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 transform their business with machine learning, and will travel to customer sites to deploy solutions and deliver workshops designed to educate and empower customers to realize the full potential of Google Cloud. You will have access to Google’s technology to monitor application performance, debug and troubleshoot product code, and address customer and partner needs. You will lead the execution of adopting the Google Cloud Platform solutions to the customer.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.
Responsibilities
- Deliver big data and machine learning solutions and solve technical customer tests.
- Serve as a trusted technical advisor to Google’s customers.
- Identify new product features and feature gaps, provide guidance on existing product tests, and collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform.
- Deliver best practices recommendations, tutorials, blog articles, and technical presentations adapting to different levels of business and technical stakeholders.
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