DevOps Engineer - 50007259

ML Engineer for the AI Department of Financial Company

Key Responsibilities:

• Support Existing Projects: Provide robust support for ongoing machine learning projects by ensuring smooth operations and infrastructure reliability.
• Account Management: Manage AWS accounts, roles, and permissions to ensure secure and efficient access control.
• Database Management: Define and manage databases, particularly using Amazon Aurora, to ensure optimal performance and reliability.
• Container Orchestration: Manage and maintain container orchestration services using Amazon EKS (Elastic Kubernetes Service) and ECS (Elastic Container Service).
• Automation and Monitoring: Develop automation scripts and monitoring tools to streamline operations and improve system reliability.
• Performance Optimization: Continuously monitor and optimize the performance of AWS infrastructure to support MLOps.
• ML Engineering Support: Assist in the deployment and scaling of machine learning models, ensuring integration with existing infrastructure.

Experience:

• Minimum of 3-5 years of experience as a DevOps, preferably with a focus on MLOps.
• Proven experience with AWS services, including EC2, S3, RDS, Aurora, EKS, and ECS.
• Strong experience with infrastructure as code tools such as Terraform or CloudFormation.
• Experience with workflow orchestration tools such as Apache Airflow.
• Familiarity with ML engineering concepts and deployment practices.
• Proficient in scripting and automation using Python, Bash, or similar languages.