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Google Customer Engineer Data Analytics Artificial Intelligence Australia, Victoria, Melbourne 231423285
01.12.2024
Minimum qualifications:
- Bachelor's degree in computer science or equivalent practical experience.
- 10 years of experience with cloud native architecture in a customer-facing or support role.
- Experience with "Big Data" technologies or concepts, such as analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, NoSQL, and other data concepts.
- Experience with Machine Learning model development and deployment frameworks for deep learning (e.g. PyTorch, Tensorflow, Jax, Ray, etc.), AI accelerators (e.g. TPUs, GPUs), model architectures (e.g. encoders, decoders, transformers), and using machine learning APIs.
- Experience working with, and presenting to, technical stakeholders and executive leaders.
Preferred qualifications:
- Experience with aspects of cloud computing (infrastructure, storage, platforms and data), as well as the cloud market, competitive dynamics and customer buying behavior.
- Experience in technical sales or consulting in cloud computing, data analytics, Big Data, or AI/ML.
- Experience in data and information management as it relates to big data trends and issues within businesses.
- Experience in architecting and developing software or infrastructure for scalable, distributed systems.
- Experience in building Machine Learning solutions and leveraging specific Machine Learning architectures.
- Experience in understanding customer requirements with the ability to break down requirements and design technical architectures.
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