Machine Learning Systems Engineer

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 Techniques Machine Learning Algorithms Statistical Modeling End-to-end deployment Metric generation Model monitoring and deployment Prompt Engineering 3. Hand on with ML Model optimization - quantization, pruning, or speculative decoding, etc. 4. Hand on with ML Model system optimiz…