- AWS Microservices
- Elasticsearch and ECS
- Databricks, Structured Streaming or DLT, and MLFlow
- Python: Pandas, PySpark
- Isolation forest and other anomaly algorithms (both supervised and unsupervised)
- Github CI/CD
- Detection engineering and use-case development.
- ETL, normalization, SQL, python notebooks, anomaly detection models.
- Emerging threat research and threat intelligence gathering.
- Security orchestration, automation, and response (SOAR).
- Fun cutting-edge security projects.
- At least 4 years of experience with Data Engineering, CICD, Python and SQL is required.
- Deep understanding of end-to-end ML engineering: Data Processing, Model Development, Training and Deployment, Monitoring, etc. – this will be your main focus.
- Strong data analytics skills, data enrichment, and experience with data pipelines are required.
- Interest in emerging ML applications such as NLP.
- Strong verbal and written communication skills.
- Willingness to work across time zones when required – we have team members in US East and Ireland also.
- Experience with publishing blogs, Github projects, and speaking engagements.
- A college degree in Computer Science, Data Science, Cybersecurity, or a related domain.
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