Elastic Security focuses on AI driven Security solutions across our SIEM and Endpoint products. The Security ML team researches, designs, and builds AI and ML solutions and drives innovation in this domain. We are looking for a Senior MLOps Engineer to join our ML team and continue to innovate, build and ship new models that will help secure our users against the latest emerging threats.
Requirements
- Proficient Python programming skills
- Experience with writing and running tests (unit tests, integration tests, regression tests)
- Experience with AWS or GCP
- Experience with Airflow, Buildkite or other CICD tooling
- Experience with performing data analysis as required to support data quality decisions
- Ability to both give and receive helpful code reviews
- Experience designing, training, and evaluating models using popular ML frameworks
Responsibilities
- Support ongoing efforts to improve data quality and ML model training automation, as well as observability and reproducibility of ML models
- Collaborate within the Data Science team, and with members of other teams, especially Data Engineering
- Promote long-term vision for monitoring performance of deployed models to identify concept drift and determine retraining cadence
- Determine how to improve models over time by leveraging implicit and explicit feedback
Other
- Be comfortable working in a fully-remote environment
- Be able to communicate clearly to diverse groups of stakeholders coming from different disciplines, timezones, and programming language preferences
- Experience in Security
- Experience with Kubernetes
- Working knowledge of deep learning, clustering, and/or graph algorithms
