Bachelor's degree or equivalent practical experience.
6 years of experience with cloud native architecture in a customer-facing or support role.
Experience with big data and machine learning frameworks such as Tensorflow, PyTorch or scikit-learn, along with implementing Machine Learning Operations at enterprise scale, on any cloud platform.
Experience engaging with, and presenting to, technical stakeholders and executive leaders.
Preferred qualifications:
Experience with building Machine Learning (ML) Solutions, Machine Learning Operations frameworks like kubeflow, and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks, etc.).
Experience in building and deploying data and ML pipelines with an emphasis on automation.
Experience with prompt tuning and delivering prototypes.
Knowledge of machine learning programming frameworks such as LangChain, PyTorch, HuggingFace, and Tensorflow.
Understanding a customer’s existing software workloads and the ability to define a technical migration roadmap to the Cloud reflecting specific customer needs.