Staff Machine Learning Engineer
Core
Architect and deliver cutting-edge machine learning solutions, including Generative AI integration, ensuring high availability and scalability for Workiva's platform.
Role type
Staff Machine Learning Engineer (Generative AI & MLOps)
Builds
ML infrastructure, model deployment pipelines, and automated tools for production ML systems
Domain
Finance, Risk, and Sustainability technology
Deliverable
production ML models | infrastructure
Required skills
ML development cycles, MLOps, Python, system architecture, technical leadership, CI/CD pipelines, cloud services, database management, performance tuning
Preferred skills
Generative AI, Agile/Sprint environments, model deployment, data pipelines, commercial databases, HTTP/web protocols, load testing, AWS
Technologies
Python, GO, Java, Github, Docker, Kubernetes, Amazon Web Services (AWS)
Responsibilities
Architect and deliver ML solutions using MLOps; Design systems for rapid ML development and observability; Develop tools and automation for ML efficiency; Collaborate with product teams to integrate ML features; Provide technical leadership and mentorship; Maintain ML infrastructure and host models; Write automated tests and debug production issues; Perform code reviews and participate in on-call rotations
Seniority
Staff, hands-on IC with strategic leadership