Cisco ML Tech Lead 

United States, Georgia, Atlanta 

40850129

Together weby designing simple solutions for complex problems.

As a
Machine Learning Engineering Tech Leadon the Duo AI and Security Research team, you will design and build systems to handle our ML-powered applications. You will collaborate with teams in the Data Science & Engineering organization to support our existing Duo Trust Monitor and Risk-based Authentication systems, develop new data-powered products, and improve our Zero Trust product offering. By joining our team, you’ll help build the next generation of our machine learning applications. Responsibilities include:

• Work with researchers, engineers and product teams tackling technical problems of high complexity to deliver machine learning based solutions in areas such as threat detection, policy recommendation, and text-based AI assistants
• Design, develop and extend our machine learning infrastructure capabilities (job orchestration, feature engineering, model monitoring etc.) and support our running models in production
• Collaborate with engineering teams throughout Duo to improve and communicate our engineering & infrastructure standard methodologies

• 4+ years professional Python development experience
• 3+ years experience working with cloud infrastructure, including AWS
• Experience developing and maintaining large-scale machine learning and/or data processing systems
• Experience leading software development within a team and/or experience mentoring junior engineers

• Experience supporting and operating high-availability, customer-facing software products
• Experience with data processing and storage frameworks such as Spark, Delta Lake, or Athena
• Familiarity with Feature Store concepts and operations
• Experience with machine learning model serving frameworks like Sagemaker or Seldon
• Experience with infrastructure-as-code tools like Terraform
• Familiarity with Kubernetes and its ecosystem
• Experience prioritizing and planning engineering work in collaboration with external stakeholders