Responsibilities
- Develop, optimize, and deploy ML models.
- Design, build, and administrate model building and serving infrastructure.
- Implement ML workflows as containerized Infrastructure as Code.
- Build & automate standardized container pipelines for training, feature engineering, and inference channels.
- Conduct performance, load, and deployment testing of delivered ML solutions.
- Develop ML governance utilities for oversight and administration of deployed infrastructure.
- Implement data, feature, and model lifecycle best practices.
- Contribute to A.I. architecture and design decisions.
- Collaborate closely with cross-functional teams, including Engineering, Blackpoint Cyber’s Security Operations Center (SOC), and our Adversary Pursuit Group (APG).
Tech Stack
AWS, SageMaker, Airflow, Kafka, Spark, MLFlow, KubeFlow, Docker, Kubernetes, Python, Bash, SQL, Ksql, GitFlow
Benefits
- competitive Health, Vision, Dental, and Life Insurance plans
- robust 401k plan
- Discretionary Time Off
- other minor perks
Additional Information
- Blackpoint Cyber welcomes and encourages applications from qualified individuals of all races, colors, religions, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status.
- For eligible employees in the US
