Principal Staff Engineer, AI Platform Research, Data Science (Remote)
Tasks
- Architect data platforms and pipelines for LLMs
- Build Retrieval Augmented Generation systems
- Collaborate with data scientists and product managers
- Define MLOps and DataOps monitoring and observability
- Develop agentic workflows and agent harnessing
- Establish data modeling and semantic cataloging
- Implement fault-tolerant data services
- Implement zero touch recovery mechanisms
- Integrate and deploy large language models
- Lead design reviews and code reviews
- Mentor engineers and run technical workshops
- Optimize distributed data processing
- Own development testing deployment and monitoring lifecycle of data services
Perks/Benefits
- Employee networks
- Flexible remote work
- Paid adoption leave
- Paid parental leave
- Paid time off
- Professional development opportunities
- Volunteer opportunities
- Wellness programs
Skills/Tech-stack
AWS | Agent Harnessing | Agentic Workflows | Amazon SageMaker | Apache Airflow | Apache Flink | Apache Kafka | Apache Spark | BigQuery | Code review | Concurrency | Dask | Data Modeling | DataOps | Distributed Systems | Docker | Fault Tolerance | Fine Tuning | Go | Google Cloud | Java | Kubeflow | Kubernetes | LLM integration | Langchain | Llamaindex | MLOps | MLflow | Monitoring | OCI | Observability | Partitioning | Prompt engineering | Pulsar | Python | Retrieval-Augmented Generation | Rust | Semantic Cataloging | Sharding | Snowflake | Testing | Vertex AI | Zero Touch | Zero Touch Recovery
Education
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