Python Developer

ML Model deployment and utilizing tools like ENSO, Kubeflow or MLFlow Excellent hands-on knowledge of Python, building API, NO SQL databases like MongoDB or Document DB. Understanding on Kubernates, docker, containerization, Openshift methodologies. Expertise in Splunk, Grafana/Prometheus or any monitoring of pods. Full cycle of building machine learning solutions, Understanding of wide range of algorithms and their corresponding problems to solve Data preparation and analysis Model training and validation Model application to the problem Experience using the full open source programming tools and utilities