Sr Machine Learning Engineer
Core
Drive the development, deployment, and optimization of scalable machine learning models and infrastructure for real-time and batch use cases in the home security domain.
Role type
Senior Machine Learning Infrastructure/MLOps Engineer
Builds
Scalable ML model serving systems, CI/CD pipelines, and production monitoring for real-time and batch workloads.
Domain
Home Security / Cloud Infrastructure / MLOps
Deliverable
production ML models
Required skills
AWS cloud architecture, Kubernetes, Docker, Terraform, Python, CI/CD pipelines, ML lifecycle management, observability, model versioning
Preferred skills
Ray, vLLM, LLM deployment, Spark, Kafka, cloud security
Technologies
AWS, Kubernetes, Docker, Terraform, Cloud Formation, TensorFlow, Pytorch, Ray, vLLM, Spark, Kafka, Kinesis
Responsibilities
Lead architecture and deployment of scalable ML model serving systems; Develop CI/CD pipelines for ML models; Design and implement production monitoring for ML systems; Manage cloud infrastructure for ML workloads; Drive best practices in model versioning and observability; Serve in on-call rotation for team software.
Seniority
Senior, hands-on IC
