Qualifications:
Experience applying continuous delivery best practices, including CI/CD, Version Control, Trunk Based Development, Release Management, and Test-Driven Development using popular tooling (e.g., Azure DevOps, CircleCI)
Experience deploying and operating scalable, reliable, and secure software solutions on modern clouds (AWS, Azure, GCP) and container platforms (Docker, Kubernetes, etc.)
Knowledge of Machine Learning lifecycle (wrangling data, model selection, model training, modeling validation, drift monitoring, and deployment at scale) and experience working with data scientists
Familiar with cloud data warehousing solutions such as Snowflake, BigQuery, Fabric, etc.
Experience with popular MLOps tools (e.g., Kubeflow, miflow, AzureML, Domino).
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Preferred:
Experience with deep learning platforms (eg: Databricks, Nvidia DGX) and frameworks (e.g.: TensorFlow, Keras, Theano, PyTorch, Caffe, etc.)
Experience working in Data Architecture, engineering and ETL teams, managing implementation of projects that utilize big data, advanced analytics, and machine learning technologies
Experience with Edge Analytics, embedded systems, or computer vision
Experience influencing and building mindshare convincingly with any audience. Confident and experienced in public speaking to large audiences.
Demonstrated experience in teaching and/or mentoring professionals.