Please submit your resume in English - we can only consider applications submitted in this language.
Minimum qualifications:
- Bachelor's degree in Science, Technology, Engineering, or Mathematics, or equivalent practical experience.
- 6 years of experience in a customer-facing or support role involving cloud-native architecture.
- Experience building machine learning solutions, utilizing various machine learning architectures (e.g., deep learning, LSTMs, convolutional networks) and open-source frameworks (e.g., TensorFlow, PyTorch).
- Experience engaging with and presenting to technical stakeholders and executive leadership.
- Experience with applied Generative AI and full-stack development, particularly using Python.
- Ability to communicate in English and Portuguese fluently to engage with local stakeholders.
Preferred qualifications:
- Master's degree in Computer Science, Engineering, or a related technical field.
Experience with distributed training and optimizing performance versus costs.
Experience with CI/CD solutions in the context of MLOps and LLMOps including automation with IaC (e.g., using Terraform).
- Experience training and fine tuning models in large-scale environments (e.g., image, language, recommendation) with accelerators.
- Ability to communicate in Spanish fluently as this is a customer-facing role that requires interactions with local stakeholders.
About the Job
In this role, you will leverage the latest Generative AI technologies to develop innovative solutions and validate their efficacy. You will be tasked with swiftly showcasing the latest Generative AI capabilities through direct collaboration with customers. You will be instrumental in materializing functional solutions on the Google Cloud platform.
Being at the front of expanding the boundaries of our Generative AI technology, you will have close collaboration with our product team to eliminate obstacles and shape the future trajectory of our offerings. You will be able to grow in ambiguous situations, and be adept at disseminating the lessons learned to customers and internal Google teams.
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
- Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
- Demonstrate how Google Cloud is differentiated by working with customers on application prototypes, demonstrating Generative AI features, prompting and tuning models, optimizing model performance, profiling, and benchmarking. Troubleshoot and find solutions to issues in Generative AI applications.
- Build repeatable technical assets (i.e., scripts, templates, reference architectures, etc.) to enable customers and internal teams.
- Work cross-functionally to influence Google Cloud strategy and product direction at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements.
- Coordinate regional field enablement with leadership and work closely with product and partner organizations on external enablement.