Guild is looking to hire a Senior MLOps Engineer to design and implement infrastructure and tooling that allows teams to efficiently develop, deploy, and iterate on machine learning models and AI agents, enabling rapid innovation, consistent reliability, and effective scaling of Guild's AI capabilities. This role is pivotal in establishing Guild's ML / AI platform.
Requirements
- 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 frameworks and serving infrastructure (TensorFlow Serving, TorchServe, FastAPI, etc.).
- Skilled in infrastructure-as-code tools like Terraform and familiarity with CI/CD automation (GitHub Actions, Jenkins).
Responsibilities
- Design, implement, and maintain platforms for seamless deployment, management, and monitoring of ML models and AI agents.
- Develop and optimize CI/CD pipelines tailored specifically for AI and machine learning workflows.
- Collaborate closely with data scientists, software engineers, and product teams to streamline ML model productionization.
- Ensure infrastructure is scalable, secure, and adheres to best practices in reliability and observability.
- Provide technical leadership in adopting best practices for model governance, versioning, testing, and validation.
- Continuously improve platform performance, efficiency, and ease-of-use to accelerate development cycles.
- Mentor team members on MLOps standards, practices, and emerging technologies.
Other
- Ability to live and work full-time in one of the 32 listed states.
- Equal opportunity employer.
- Celebrate diversity and committed to creating an inclusive environment for all employees.
- If you have a disability or special need that requires accommodation, please let your recruiter know.
