Machine Learning Platform Engineer
Core
Build and scale the end-to-end machine learning infrastructure to productionize core ML capabilities for a Daily Fantasy Sports platform.
Role type
Senior Machine Learning Platform Engineer
Builds
Scalable ML infrastructure, low-latency inference services, and centralized feature stores for sports betting and DFS ecosystems.
Domain
Sports Betting / Daily Fantasy Sports / Machine Learning
Deliverable
production ML models | infrastructure
Required skills
MLOps, Real-time streaming architectures, Containerization, Python, Go, Kubernetes, Feature Stores, Model Monitoring
Preferred skills
C++ or Rust, Daily Fantasy Sports domain knowledge, High-frequency trading experience, AI agents implementation
Technologies
Kafka, Flink, PubSub, SageMaker, VertexAI, Vector DBs, Graph Databases, Redis, Elasticsearch, Docker
Responsibilities
Design and build end-to-end ML infrastructure for production; Deploy low-latency services for real-time model inference; Lead creation and optimization of centralized feature stores; Operate core ML platform components for training and experimentation with CI/CD pipelines.
Seniority
Senior, hands-on IC