Lead ML Platform Architect: GCP, Kubeflow & Responsible AI

Principal Machine Learning Engineer About Egen Egen is a dynamic, fast-growing company with a strong focus on data. We combine top engineering talent with advanced technology platforms like Google Cloud and Salesforce to help clients harness data for impactful insights. Our team thrives on solving tough problems, continuously innovating to achieve rapid, effective results. Role Overview We are seeking a Principal Machine Learning Engineer to join our Data Science team. This critical role involves developing and enhancing our MLOps platform. You’ll need a unique blend of cloud architecture expertise, AI/ML knowledge, and leadership skills to build and maintain a state-of-the-art MLOps environment. Key Responsibilities Architectural Leadership: Design and lead our MLOps platform architecture, focusing on GCP Vertex AI and Kubeflow. Responsible AI Solutions: Develop solutions that ensure Responsible AI, including explainability, data drift detection, and fairness metrics, adhering to ethical AI practices. Developer Experience: Enhance the MLOps platform for optimal developer experience, incorporating streamlined workflows and advanced tools. Collaboration: Work with AI/ML experts across domains like Computer Vision, NLP, and synthetic data, integrating the latest advancements into the platform. Reliability and Observability: Partner with the AI/ML Reliability engineering team to ensure platform reliability and observability. Platform Development: Bring experience in platform teams, particularly in data and AI/ML, and expand platforms to on-premises and edge deployments. Cross-functional Collaboration: Collaborate with cloud teams, data scientists, and product managers to align platform development with organizational goals. Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field. 10+ years of experience in technology or data fields. Proficient in Python and other programming languages. Strong background in AI/ML or Data Sciences technologies and platform development. Broad knowledge across technology domains (data, cloud, UI, security). Excellent communication, leadership, and project management skills. #J-18808-Ljbffr