Staff Machine Learning Engineer
Tasks
- Apply AI to infer context from content and environment
- Build hybrid cloud training and inference systems
- Create data collection tools
- Design data platforms
- Design distributed cloud architectures
- Develop cloud backend solutions
- Develop metadata management services
- Develop microservices platforms
- Develop mobile applications
- Develop web applications
- Enable real-time streaming
- Implement complex event processing
- Implement data governance policies
- Implement unified data models
- Instrument data pipelines
Perks/Benefits
Skills/Tech-stack
AI | AWS Kinesis | Apache Beam | Apache Flink | Apache Spark | Apache Storm | Big Data | C++ | CI/CD | Data Governance | Data Modeling | Data Science | Databricks | DevOps | Distributed Algorithms | Docker | GRPC | Git | Golang | Google Dataflow | Jira | Kafka | Kubernetes | Machine Learning | Metadata Management | Microservices | PubSub | PyTorch | Python | REST | Real Time | Real-time messaging | Rust | Spark Streaming | Streaming Analytics | TensorFlow | Thrift | UnixLinux
Education
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