Minimum qualifications:
Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
Experience with chat/voice bot development, machine learning, natural
language processing, or contact center technologies.
Experience working with technical customers.
Experience in one or more programming languages, including Java, C++, Go, or Python.
Preferred qualifications:
Experience working with recommendation engines, data pipelines, or distributed machine learning and experience with data analytics and data visualization techniques and software.
Experience with Document and Image AI.
Experience with web standards such as REST APIs, and web security mechanisms.
Experience or knowledge of other AI frameworks, products, or solutions such as TensorFlow.
Experience or knowledge in telecommunications, networking, or contact centers.
Ability to lead the design and implementation of AI-based solutions, web services, and debugging tools.
About the job
As a Cloud Artificial Intelligence/Machine Learning (AI/ML) Engineer, you'll guide governments, universities, and other public sector customers on how to configure and deploy their virtual agents and machine learning solutions. Together with the team, you will support customer implementations of Google Cloud products through architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and more. You'll consult with customers on how to best design their conversational AI and machine learning solutions including intent development, CI/CD, pipeline design, and training and evaluation of ML models. You will 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 to drive excellence in Google Cloud products and features.
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
Deliver conversational AI and ML solutions and solve complex technical customer challenges.
Act as a trusted technical advisor to strategic customers.
Create and deliver best practices recommendations, tutorials, blog articles, and technical presentations adapting to different levels of key business and technical stakeholders.
Travel up to 30% of the time.
