Bachelor's degree in Computer Science, Software Engineering, a related Quantitative field (e.g., Physics, Mathematics, Statistics), or equivalent practical experience.
Experience coding and scripting in one or more languages (e.g., Python, Perl, C, C or Java).
Experience working with a deep learning framework (e.g., TensorFlow, PyTorch, Keras).
Experience deploying machine learning models into production.
Preferred qualifications:
Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
Experience building production Machine Learning models with one or more of the following: TensorFlow, MXNET, Spark ML, Scikit, etc.
Experience in delivering complex Artificial Intelligence (AI) or data analytics projects.
Experience building Machine Learning models for different use cases (e.g., tabular data, images, video, speech, unstructured text).
Experience uncovering the needs of stakeholders, customers or users, and developing innovative solutions for multiple audiences.
Ability to communicate in English and Italian fluently.
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. As a Cloud AI Engineer, you will design and implement Machine Learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities to apply machine learning in their business, and travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Additionally, you will work closely with Product Management and Product Engineering teams. You will design and build machine learning models through production. Google Cloud accelerates organizations' ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology - all on the cleanest cloud in the industry. 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
Be a trusted technical advisor to customers and solve complex Machine Learning issues.
Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders.
Work with Customers, Partners, and Google Product teams to deliver tailored solutions into production.
Coach customers on the practical issues in Machine Learning systems, feature extraction/feature definition, data validation, monitoring, and management of features/models.
Travel up to 30% of the time in-region for meetings, technical reviews, and onsite delivery activities as needed.
Refer code: 1394695. Google - Il giorno precedente - 2024-02-20 08:52
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