Sr. Data Scientist
Core
Design, build, and maintain production-grade data pipelines processing terabytes of data for cyber-security use-cases and AI/ML continuous training.
Role type
Senior Data Engineer (Cybersecurity & ML Infrastructure)
Builds
Scalable batch and streaming data pipelines, training data clusters, and data lakes for model training.
Domain
Cybersecurity, Cloud Infrastructure, Machine Learning
Deliverable
production ML models | infrastructure
Required skills
Python, Apache Airflow, Docker, Kubernetes, Helm, Apache Spark, Dask, Terraform, Go, Rust
Preferred skills
Ray, GCP services (Pub/Sub, BigQuery, GKE), CI/CD, data governance
Technologies
Airflow, Docker, Kubernetes, Helm, Dask, Apache Spark, Terraform, GCP
Responsibilities
Architect and deploy batch/streaming pipelines; containerize jobs and orchestrate with Kubernetes; build high-throughput transformations; implement observability and troubleshoot production failures; design data models and load data into cloud storage.
Seniority
Senior, hands-on IC
