MLOps Tech Lead

Summary

Join Guild as an MLOps Tech Lead and provide technical leadership to the MLOps team, contributing to the architecture, design, and development of Guild's ML and AI agent platforms. This player/coach role requires hands-on involvement in building this function from the ground up. You will drive the technical roadmap and execution, ensuring best practices, reliability, scalability, and efficiency in ML/AI infrastructure and operations. Lead and mentor the MLOps engineering team, architect and implement Guild's scalable ML and AI agent deployment platform, and drive adoption of best practices for continuous integration, delivery, and deployment. Ensure robust monitoring and collaboration with stakeholders to align technical initiatives with business objectives. Champion data governance standards and continually assess and integrate cutting-edge technologies. Guild offers a competitive total compensation package, including a base salary of $161-236,000 and stock options.

Requirements

• 10+ years of combined experience in MLOps, DevOps, 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, TensorFlow Serving, TorchServe, 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

Responsibilities

• 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

Benefits

• Access to low-cost, high-quality health care options through Cigna and Kaiser (due to coverage limitations, Kaiser is currently only available in CA & CO)
• Access to a 401k to help save for the future
• Open vacation policy for employees to rest and recharge
• 8 days of fully-paid sick leave, to take the time to heal and or recover
• Family-friendly benefits, including 12 weeks of parental leave for non-birthing parents and 18-20 weeks for birthing parents; 4-week ramp-up period for when employees return from a leave of 6 weeks or more; as well as employer-paid short-term and long-term disability, employer-sponsored life insurance, fertility and caregiving benefits
• Well-rounded wellness benefits including free and low cost mental health resources and financial wellbeing support services
• Education benefits and tuition assistance to help your future development and growth