Guild
SeniorMLOpsEngineer
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“Senior MLOps Engineer at Guild. Skills: MLOps, machine learning infrastructure, cloud platforms, containerization. designing and implementing infrastructure. implementing tooling”
What You'll Achieve.
meet our impact goals; cultivate a culture of high-performance; enable rapid innovation; enable consistent reliability; enable effective scaling
What They're Looking For.
Must Have
5–7 years of experience in MLOps, DevOps, software engineering, or related fields, 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), Experience in model deployment frameworks and serving infrastructure (TensorFlow Serving, TorchServe, FastAPI, etc.), Skilled in infrastructure-as-code tools like Terraform, familiarity with CI/CD automation (GitHub Actions, Jenkins), Deep understanding of ML lifecycle management, monitoring, version control, and experiment tracking tools (e. g. , MLflow, Kubeflow, Weights
Nice to Have
specific experience with Databricks MCP or AWS MCP is a plus
What You'll Do.
designing and implementing infrastructure
develop machine learning models
deploy machine learning models
iterate on machine learning models
establishing Guild’s ML / AI platform
Full Job Description
At Guild, we believe talent is everywhere and that opportunity should be too. We continue to have our home and headquarters in Denver, but we have embraced a distributed model of working to reach the best talent in the United States. While some roles may require proximity to our Denver office, roles based outside of our Denver office can sit in any of the following 32 states: AZ, CA, CO, CT, FL, GA, ID, IL, IN, KS, MA, MD, ME, MI, MN, MO, NC, NH, NJ, NV, NY, OH, OK, OR, PA, SC, TN, TX, UT, VA, WA, WI and Washington D. C. Please only apply if you are able to live and work full-time in one of the states listed above. State locations and specifics are subject to change as our hiring requirements shift. If you are an Internal Candidate, please apply via our Internal Job Board. ---- To thrive as a company and meet our impact goals, we must cultivate a culture of high-performance. 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. ---- 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. Exp
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