AI/ML Architect

Data and Feature Pipelines: Design, build, and manage automated data ingestion, transformation, and validation pipelines using services like Kubeflow Pipelines and Vertex AI Pipelines. Model Management: Establish a robust Model Versioning system to manage and store model artifacts securely in a centralized repository (Cloud Storage). Build and maintain CI/CD workflows for ML models, ensuring seamless and automated deployment. Proven ability to design and implement end-to-end ML pipelines for data management, model training, and deployment. Skills: Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Automation, Cloud Computing, Cloud Storage, Continuous Deployment/Delivery, Continuous Integration, Data Management, Data Modeling, Data Quality, Data Sets, Docker, GCP (Good Clinical Practices), Image Management, Machine Learning, Management Strategy, Metrics, Performance Modeling, Performance Tuning/Optimization, Problem Solving Skills, Process Management, Production Systems, Retail Management, Sales Pipeline, Schedule Development, Systems Administration/Management, Systems Scalability, Technology Analysis