Understanding of advanced algorithms and applications (R/Python).
Ability to translate functionality into scalable, tested, and configurable platform software.
Software development in Python and Google Cloud Platform
Development of features aligned to enterprise AutoML, Feature Engineering, and MLOPS capability
Definition and automation of key metrics and metadata management through software packages that standardize logging and governance for the platform tenants
Ability to recommend infrastructure components GPU’s or CPUs based on the job/compute needs.
Ability to manage and integrate with data sources on-prem and cloud (RDBMS systems, Warehouses, BigQuery, Bucket Storage).
Great communication skills.
Working with cross-functional teams in an agile environment.
2+ years of experience deploying and monitoring models in batch/real-time business processes, and understanding of ML frameworks.
2+ years of Python programming experience leveraging strong software development principles.
Hands-on experience in building solutions using cloud-native services (GCP preferred, AWS acceptable): bucket storage, BigQuery, Kubeflow, DataProc, VertexAI, DataFusion