Senior MLOps Engineer

To thrive as a company and meet our impact goals, we must cultivate a culture of high-performance. You can read about our culture principles here . We know managers are often the single-largest driver of employee satisfaction and growth, and our talent is our biggest asset. Because of that, we’ve identified consistent expectations for all of Guild’s people managers — helping you know what to expect from your experience here. If you are an Internal Candidate, please apply via our Internal Job Board .  ---- Guild is seeking a Senior MLOps Engineer . As a Senior ML Ops Engineer you'll be pivotal in designing and implementing infrastructure and tooling that allows teams to efficiently develop, deploy, and iterate on machine learning models and AI agents. Your contributions will enable rapid innovation, consistent reliability, and effective scaling of Guild's AI capabilities.  This is a role that will be pivotal in establishing Guild’s ML / AI platform.  What You Bring 5–7 years of experience in MLOps, DevOps, software engineering, or related fields. Strong experience in building and maintaining scalable machine learning infrastructure and pipelines. Expertise with cloud platforms (AWS, Azure, or GCP), particularly in managed AI/ML services. Proficiency with containerization (Docker, Kubernetes) and orchestration tools. Experience in MCP (model context protocol); any specific experience with Databricks MCP or AWS MCP is a plus Experience in model deployment fra