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.

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