Sr. Engineer - Data & ML Platform (Hybrid, IND)
Core
Build a modern Data+ML platform and ML Experimentation Platform from the ground up to support data preparation, cataloging, feature engineering, model training, and serving for threat analytics and insights activation.
Role type
Senior Machine Learning Platform Engineer
Builds
Scalable ML pipelines, self-service ML experimentation platform, and production ML infrastructure for threat analytics (via careerplan.io/jobs/R26883-sr-engineer-data-ml-platform-hybrid-ind-at-crowdstrike)
Domain
Cybersecurity, Data Platform, Machine Learning
Deliverable
production ML models | infrastructure
Required skills
Distributed systems, Machine Learning engineering, Data platform development, Workflow orchestration, Infrastructure as code, Containerization, CI/CD, Python, Cloud services (Kubernetes, blob storage, queues)
Preferred skills
Apache Spark, Flink, Iceberg, Go, Pinot, Jenkins, Parquet, Protocol Buffers/GRPC, Java/Scala
Technologies
Kubernetes, Airflow, Terraform, FluxCD, GitHub Actions, MLFlow, Ray, Vertex AI, Jupyter Notebooks, NVidia Workbench, GCP
Responsibilities
Design and build scalable ML pipelines for data preparation and model serving; Modularize complex ML code into standardized components; Establish repeatable patterns for model development and deployment; Leverage workflow orchestration tools for complex data and ML pipeline execution; Review code changes and champion software development best practices; Utilize cloud services in a cloud-first environment
Seniority
Senior, hands-on IC
