Kforce has a client in Cincinnati, OH that is seeeking a Level 2 Senior Software Engineer with an ML focus to lead the integration and operationalization of machine learning models in our Search area. Summary: This role requires close collaboration with data scientists and leadership teams, leveraging MLOps best practices to ensure smooth deployment and operation of ML models. The ideal candidate will have expertise in diverse ML platforms, including Google Vertex AI, cloud technologies, and open-source solutions. This role sits at the intersection of MLOps, data science, and software engineering, ensuring the robustness and scalability of our ML infrastructure. Recommender Systems & ML Model Development: * Develop and integrate recommender systems into customer-facing products * Implement ML techniques such as embedding-based retrieval, reinforcement learning, and transformers * Collaborate with engineering teams to ensure seamless model integration * Drive A/B testing and iterative optimization using data-driven methodologies * Assess infrastructure needs for ML deployment, including CPU/GPU resources and networking requirements Feature Store Management: * Efficiently manage, share, and reuse machine learning features at scale using Vertex AI Feature Store * Implement centralized feature stores to maintain transparency and consistency across ML operations