Corelight is a cybersecurity company that transforms network and cloud activity into evidence. Evidence that elite defenders use to proactively hunt for threats, accelerate response to cyber incidents, gain complete network visibility and create powerful analytics using machine-learning and behavioral analysis tools.
Requirements
- 3+ years experience developing, optimizing, troubleshooting, and maintaining large-scale machine learning systems.
- Experience in DevOps and/or MLOps: continuous integration and delivery, automation of ML workflows, and deployments to production environments.
- Understanding of data preprocessing, feature engineering and machine learning algorithms.
- Understanding of model testing and validation techniques for ensuring model quality and performance.
- Experience in Python and data science libraries (Zephyrscript, Keras, PyTorch, Tensorflow).
- Experience using Docker and/or Kubernetes, and containerized applications.
- Experience with local deployments and fine-tuning of LLMs
Responsibilities
- Contribute to the full range of stages of AI/ML projects, from early explorations to productization and maintenance.
- Work closely with data scientists and network security experts to design and implement scalable ML pipelines for large datasets.
- Design and implement strategies to deploy LLMs and for fine-tuning Zephyrscript
- Conduct experiments, analyze results and resource consumption using various metrics and visualization techniques.
- Drive adoption of ML development best practices in code health, quality, test stability and maintainability.
- Participate in technical discussions within the Labs team and collaborate with other teams across the organization.
- Work in an Agile development team focused on exploring and delivering ML use cases.
Other
- Strong appreciation for our core values: low ego results, tireless service, and applied curiosity.
- Excellent communication skills to work effectively in a team.
- Experience adopting and using Agile development tools and methodologies, and working in a distributed team.
- Familiarity with the network security domain.
- We are proud of our culture and values - driving diversity of background and thought, low-ego results, applied curiosity and tireless service to our customers and community.
