Job Summary
A company is looking for a Sr Machine Learning Engineer to optimize training, inference, and Retrieval-Augmented Generation (RAG) pipelines for high-performance AI applications.
Key Responsibilities
- Design and implement integration of data ingestion and streaming pipelines with open-source tools
- Optimize training and inference processes, including asynchronous checkpointing and K-V caching
- Guide the integration of MLFlow for comprehensive experiment tracking and model deployment
Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related fields
- 5+ years of experience in machine learning operations (MLOps) or related roles
- Proven expertise in building and scaling AI/ML pipelines
- Strong understanding of machine learning frameworks and libraries
- Experience in deploying open-source vector databases at scale
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