Overview
Role involves building self-serve platforms for real-time ML deployment and data engineering.
Ideal candidate should have 5-10 years of IT experience with strong Python and data engineering skills.
remotemidEnglishPythonFastAPIAWSKubernetesDockerJenkinsGitHub ActionsDynamoDBPostgreSQLMongoDBCI/CD+ 2 more
Locations
Requirements
5-8 years platform backend engineering experience 1 year DevOps & data engineering experience Strong expertise in Python Hands-on experience with real-time ML model deployment
Responsibilities
Design and build self-serve platforms Create APIs and backend services Implement platforms for real-time ML inference Build and optimise ETL/ELT pipelines Develop and manage feature stores Use CI/CD pipelines for automated deployments Create and maintain technical documentation Collaborate with cross-functional teams