Senior Cloud Engineer- Data/ML

Responsibilities:

• Design, develop, and maintain infrastructure as code for AWS services to support data projects, ensuring automation, efficiency, scalability, and reliability.
• Create and manage AWS CodePipeline for continuous delivery, automating release pipelines for applications and infrastructure.
• Develop MLOps processes using tools like SageMaker to automate and standardize the ML lifecycle, enhancing productivity and maintaining model performance.
• Collaborate with data engineering and cross-functional teams to implement infrastructure as code libraries and CI/CD pipelines.
• Utilize data engineering technologies, frameworks like Terraform or CloudFormation, and cloud platforms to build robust data and ML solutions.
• Maintain high coding standards, implement best practices, and conduct code reviews to ensure quality.
• Document data processes, applications, ML models, and inference comprehensively, and troubleshoot data and ML issues, proposing effective solutions.

Requirements:

• Bachelor’s or master’s degree in computer science or a related field.
• Experience with Linux-based infrastructure, Python, and Shell scripting.
• Proficiency with container technologies (Docker, Kubernetes) and managing AWS resources (EC2, S3, RDS, etc.).
• Skilled in designing scalable AI/ML infrastructure and implementing CI/CD pipelines.
• Strong problem-solving skills and ability to collaborate with cross-functional teams.

Place of work