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Google Customer Engineer Applied AI Generative Singapore 619999616
11.04.2024
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 3 years of experience in virtualization or cloud native architectures in a customer-facing or support role.
- Experience with big data and machine learning frameworks (e.g., Tensorflow, PyTorch, or scikit-learn), and implementing MLOps at enterprise scale on cloud platforms.
- Experience in pre-sales and consulting, delivering technical presentations, leading discovery, and planning sessions with customers with scope and success criteria.
Preferred qualifications:
- Experience in building and deploying data and ML pipelines with a focus on automation.
- Experience building machine learning solutions, MLOps frameworks like Kubeflow, and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks, etc.).
- Experience in understanding a complex customer’s existing software workloads, and the ability to define a technical migration roadmap to the cloud reflecting specific customer needs.
- Familiarity with prompt tuning and experience delivering successful prototypes.
- Familiarity with machine learning programming frameworks such as LangChain, PyTorch, HuggingFace, and TensorFlow.
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