Job Description
We are seeking for a Sr.Python Data Scientist, responsible for building automation and leading-edge architecture around Data and AI/ML engineering on an AWS & Kubernetes platform.
7+ years of total experience in a complex, technical environment. Experience with developing production-grade code in Python, SQL & Pandas.
Experience with 3 or more of the following AWS tools: Lambda, EC2, EMR, S3, Glue, Athena, RDS, Networking, IAM, Batch processing, Sagemaker, Airflow
Experience or self-study in Terraform and, generally commonly used DevOps tools and techniques like Kubernetes , Docker, Github, Github Actions, Code pipeline & Jenkins.
Experience in Kubeflow & MLFlow would be a good advantage.
Experience in creating and working with CICD pipelines and APIs.
Experience with relational SQL and NoSQL databases. Snowflake experience is plus.
Experience working with AI/ML teams and cross-functional teams in a dynamic environment.