Sr Machine Learning Engineer- ML Infrastructure & Data Platforms
Tasks
- Build distributed data loaders for training workflows
- Create reusable tools libraries and documentation
- Design batch inference systems for high volume GPU processing
- Develop and maintain CI CD workflows for testing deployment and containerization
- Develop data pipelines for multimodal dataset ingest transform and preparation
- Implement search and retrieval systems using vector databases and embeddings
- Improve system performance scalability and reliability using distributed computing tools
- Monitor and improve system health including throughput latency and resource utilization
- Perform code reviews and share knowledge
- Turn model requirements into scalable systems
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | Batch inference | CI/CD | Dask | Data Engineering | Data Pipelines | Distributed Systems | Docker | DuckDB | Embeddings | MLOps | PyTorch | Python | Ray | Spark | TensorFlow | Vector Databases
Education
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