Description

You will design, build, and deploy scalable machine learning models and cloud-based data solutions on AWS.

This role is on-site.

Responsibilities

• Architect and develop cloud data warehouses, data lakes, and cloud-native data solutions including database structures and security specifications.
• Deploy and optimize machine learning models using SageMaker, EMR, and Redshift.
• Design, develop, and support DevOps tools and components in accordance with technical specifications.
• Implement and adapt DevOps solutions and CI/CD pipelines for new contexts.
• Debug, test, and document code while communicating development stages and troubleshooting issues via existing SOPs.

Required Skills

• 5+ years of experience in cloud computing and DevOps.
• Proficiency in Python and SQL.
• Hands-on experience with AWS CloudFormation and AWS SDKs.
• Experience with EMR, Redshift, and SageMaker.
• Knowledge of generative AI models, prompt engineering, and machine learning optimization.
• Experience with reinforcement learning and distributed computing.
• Strong understanding of big data and modern data integration frameworks.
• Ability to design for security, backup, and recovery.

Key Skills

Education

Any Graduate