Degree in Artificial intelligence- AI
Aartificial intelligence, Framework, Generative AI, Google Cloud Platform (GCP), JavaScript, Large Language Models - LLMs, Machine learning techniques, Python Programming, TensorFlow
Minimum qualifications:
Preferred qualifications:
About the job
As part of Applied AI Engineering/Cloud AI, the team is responsible for large-scale last mile GenAI solutions delivery. We develop reusable horizontal solutions accelerators and build GenAI apps to onboard and scale customer engagements.
These scalable reusable solutions accelerators enable Google Cloud Platform (GCP) customers to deploy Generative AI solutions easily and with high accuracy. We collaborate with product teams and bridge gaps in products using this repeatable solutions accelerator methodology. Examples of reusable artifacts include "talk to docs", "talk to data", "talk to code", etc. We also build automated prompt optimization tools. Finally, we also work with Google Deepmind and other research teams to make Gemini suitable for enterprise use cases when accessed from Vertex AI.
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
Google LLC is a multinational technology company headquartered in the United States that specializes in various fields, including search engine technology, cloud computing, online advertising, quantum computing, e-commerce, computer software, artificial intelligence, and consumer electronics. With its market dominance, data collection, and technological advancements in AI.
Sydney NSW, Australia
2-4 year
Waterloo, ON, Canada
2-4 year
Waterloo, ON, Canada
2-4 year