Staff AI Data Architect (Advanced Technology Group)
Tasks
- Build metadata management services for AI training and inference
- Design and implement advanced data platforms
- Design cloud based distributed microservice architectures
- Design unified data models for structured and unstructured data
- Develop cloud backend web and mobile applications
- Develop data collection tools and instrumentation
- Enable low latency real time streaming and complex event processing
- Implement data governance and data management policies
- Optimize AI enabled real time streaming for cloud and edge
- Partner with researchers to apply machine learning in audio video domains
Perks/Benefits
Skills/Tech-stack
AWS Kinesis | Apache Beam | Apache Flink | Apache Kafka | Apache Spark | Artificial Intelligence | Bash | Big Data | Big data management | C++ | CI/CD | Cloud Architecture | Cloud Offloading | Complex event processing | Consensus Algorithms | Data Governance | Data Management | Data Modeling | Data Structures | Data analytics | Databricks | Deep learning | DevOps | Distributed Algorithms | Distributed Computing | Docker | Edge Computing | Event Processing | GRPC | Git | Go | Google Dataflow | Jira | Kubernetes | Language Processing | Linux | Machine Learning | Microservices | Natural Language | Natural Language Processing | PubSub | PyTorch | Python | REST | Real Time | Real-time Streaming | Rust | Service Design | Stream processing | TensorFlow | Thrift
Education
Roles
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