Responsibilities

As an AI/ML Architect at BambooHR, the role involves architecting, designing, and implementing scalable AI/ML systems across cloud and on-premise environments, defining architectural changes for incremental implementation while minimizing risk, collaborating with stakeholders on architectural priorities, particularly in AI model deployment and MLOps workflows, building and improving code, especially high-value AI/ML services and APIs, training team members on AI/ML practices, helping the team build AI-integrated code with confidence, defining and evolving model governance, monitoring, drift detection, and re-training workflows, advocating for security and ethical AI practices, and deploying and scaling containerized, distributed software and AI systems using Kubernetes. Additionally, the role includes experience with the full lifecycle of software and AI/ML development, and utilizing LLMs, including training, fine-tuning, and evaluation.