Responsibilities
- classical machine learning experience.
- The individual is required to build machine learning models using AWS Sagemaker.
- The project also requires hosting the models and setting up monitoring/telemetry using Prometheus/Grafana or any equivalent tool.
Qualifications
- Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
- At least 7+ years' of experience in quantitative analytics or data modeling
- Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
- Experience in hosting the models and setting up monitoring/telemetry using Prometheus/Grafana or any equivalent tool.