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Vaga de AI Consultant, Cloud Professional Services

1 vaga: | Publicada em 22/04

Sobre a vaga

MBA or Master's degree in Computer Science or a related Engineering field. Experience in a statistical programming language (e.g., R or Python) and applied machine learning techniques (e.g., dimensionality reduction strategies, classification, and natural language processing frameworks). Experience designing and deploying with one or more of the following technologies: TensorFlow, Spark Machine Learning, Torch, Caffe, Scikit-learn. Experience in systems design with the ability to architect and explain data analytics pipelines and data flows. Excellent communication, presentation, and problem-solving skills. Description The Google Cloud Platform team helps customers transform and build what's next for their business  all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers  developers, small and large businesses, educational institutions and government agencies  see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As an AI Consultant, you will work directly with customers on critical projects to help them transform their businesses using AI/ML technologies. You will help them develop, deploy, and manage custom AI solutions in production using Google Cloud technologies. You will provide technical project management, consulting, and technical aptitude to customer engagements while working with client executives and key technical leaders to deploy solutions via Googles Cloud Platform. You will also work closely with key Google partners on accounts to scope engagements, manage programs, deliver consulting services, and provide technical guidance and best practice expertise. Google Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Googles 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 Work with customer technical leads, client executives, and partners to scope, manage, and deliver successful implementations of cloud solutions, becoming a trusted advisor to decision makers throughout the engagement. Work with internal specialists and Product and Engineering teams to package best practices and lessons learned into thought leadership, methodologies, and published assets. Interact with Sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines for successful client outcomes. Advocate for customer needs in order to overcome adoption blockers and drive new feature development based on your field experience. Propose solution architectures and manage the deployment of cloud-based machine learning solutions according to complex customer requirements and implementation best practices. Travel approximately 30% of the time for client engagements. Additional Instructions Note: By applying to this position you will have an opportunity to share your preferred working location from the following: São Paulo, State of São Paulo, Brazil; Buenos Aires, Argentina; Mexico City, CDMX, Mexico.Summary Bachelors degree in Engineering, Computer Science, a related field, or equivalent practical experience 5 years of experience in technical project management, stakeholder management, professional services, solution engineering or technical consulting, and 1 year of experience in technical leadership. 5 years of experience in machine learning, recommendation systems, natural language processing, computer vision, pattern recognition, or artificial intelligence. 3 years of experience in a customer-facing technical consulting role. 1 year of experience in technical troubleshooting and writing code in one or more programming languages.