Systems Research Engineer- Software Engineer, Data and ML Infrastructure
Tasks
- Communicate research findings to stakeholders
- Define cloud native data and ml infrastructure standards and best practices
- Design and implement real time machine learning inference systems
- Drive machine learning system architecture decisions
- Execute software development life cycle and write testable code
- Own services lifecycle using devops principles
- Prototype and iterate platform capabilities using genai tools
- Review and evaluate state of the art research work
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Amazon EMR | Apache Kafka | Apache Spark | Cassandra | Cloud Dataflow | Cloud Native | Cloud Native Architecture | Continuous Delivery | DevOps | Distributed Systems | Fault Tolerance | Google Cloud | Google Cloud Dataflow | Java | Kubernetes | Machine Learning | Monitoring | Multi-threading | Object-Oriented | Object-oriented design | Python | Real Time | Real-time Inference
Education
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