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.