Remote
•
11d ago
Job Description: 1. Hands-on with designing end to end scalable ML system 2. Hands-on with the implementation of a scalable ML system. Proven ownership across the entire or partial ML and MLOps lifecycle: Evaluation TechniquesMachine Learning AlgorithmsStatistical ModelingEnd-to-end deploymentMetric generationModel monitoring and deploymentPrompt Engineering3. Hand on with ML Model optimization - quantization, pruning, or speculative decoding, etc. 4. Hand on with ML Model system optimizations i
Easy Apply
Full-time, Third Party
Depends on Experience

















