Description

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

Responsibilities

• Architect and develop cloud data warehouses, data lakes, and cloud-native data solutions including database structures and security specifications.
• Develop and support DevOps tools and components according to technical specifications.
• Debug, test, and document code while communicating development stages and issue status.
• Adapt existing DevOps solutions for new contexts and select appropriate technical options for component reuse or reconfiguration.
• Troubleshoot issues by following and contributing to existing SOPs.

Required Skills

• 5+ years of experience in DevOps and CI/CD environments.
• Proficiency in Python and SQL.
• Hands-on experience with AWS services including EMR, RedShift, SageMaker, and AWS SDKs.
• Experience with AWS CloudFormation and programmatic access services.
• Knowledge of distributed computing and scalable systems.
• Experience with generative AI models, techniques, and prompt engineering.
• Experience with machine learning optimization and reinforcement learning.
• Competency in data integration frameworks and big data technologies.
• Linux System Administration skills.

Preferred Skills

• Experience with generative AI applications in talent management, finance, or manufacturing.

Key Skills

Education

Any Graduate