MLOps Tech Lead; Remote

Remote, USA Full-time
Position: MLOps Tech Lead (Remote) Back to jobs NewMLOps Tech Lead (Remote) United States 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, , 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.We typically keep job postings active for 3–5 weeks, though this may vary depending on applicant volume and other factors. 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 hiring a MLOps Tech Lead . As an MLOps Tech Lead, you'll provide technical leadership to the MLOps team while actively contributing to the architecture, design, and development of Guild's ML and AI agent platforms. This is a player / coach role, with a heavy emphasis on the player part in the beginning. We’re building this function 0-1 at Guild, and need you to be able to roll up your sleeves and get your hands dirty. You will drive both the technical roadmap and execution, ensuring best practices, reliability, scalability, and efficiency in our ML/AI infrastructure and operations. As a MLOps Tech Lead, responsibilities include: • Lead and mentor the MLOps engineering team, providing technical direction, oversight, and professional growth. • Architect, design, and lead the implementation of Guild's scalable ML and AI agent deployment platform. • Drive adoption of best practices for continuous integration, delivery, and deployment specific to AI and ML workflows. • Ensure robust monitoring, logging, alerting, and observability of production ML systems and AI agents. • Collaborate closely with data science, engineering, product, and business stakeholders to align technical initiatives with strategic business objectives. • Champion and advance Guild’s data governance, privacy, security, and compliance standards within the ML operational context. • Continually assess and integrate cutting-edge technologies and practices to maintain Guild’s leadership in MLOps and AI infrastructure. You are a strong fit if you have: • 10+ years of combined experience in MLOps, Dev Ops, software engineering, or related technical roles. • Proven leadership experience leading teams technically, mentoring engineers, and setting technical direction. • Deep expertise with modern cloud infrastructure (AWS, Azure, GCP), especially managed ML/AI services. • Strong hands-on experience with Kubernetes, Docker, and container orchestration platforms. • Advanced knowledge of ML serving frameworks (MLFlow, Tensor Flow Serving, Torch Serve, FastAPI) and ML pipeline orchestration (Airflow, Kubeflow). • Understand MCP and have played with different MCP servers (github, Databricks, AWS) • Proficiency in infrastructure-as-code (Terraform) and extensive experience with CI/CD tools and automated testing. • Expert-level skills in Python programming, software engineering best practices, and scalable systems design. We are committed to equal pay for equal work and believe in compensation transparency. All salary ranges are standardized nationwide and will not vary by region. This role offers a competitive total compensation package, including a base salary of $, and stock options. Compensation offered will be based on a combination of factors such as experience, competencies, and internal equity. Guild is America’s leading talent development company,… Apply tot his job
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