Machine learning software engineer
Summary
Contributed to the design and execution of a Kubernetes-based managed distributed cluster service POC, resulting in 50%
customer increase over the existing Slurm-based service. Owner of several key tasks design of health checks for Kubernetes
worker nodes, developed APIs for faulty instance replacement, automation scripts for one-click onboarding that optimized
setup of Kubernetes controller and worker nodes
Machine Learning model development for ToF sensor to estimate scene depth. Developed UNet based model that reduced
validation loss by 50%
Expectations
Hands on experience in ML stack. I would like to grow as an architect in ML infra, ML modeling.
Employment Preferences
Expected Base Salary
**0,000 USD
Academic Degree
Experience
Total Professional Experience
Startup Experience
Big-Tech Companies
Enterprise Experience
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