AI ML Architect -Onsite - CTH

Qualifications

• Python(3.11+) hands-on experience building robust applications and agentic logic.
• Hands-on experience with Amazon SageMaker for building, training, and deploying machine learning models.
• Proficiency in data preparation and analytics using Dataiku.
• Solid understanding of core Machine Learning concepts and model lifecycle management.
• Familiarity with AWS Bedrock AgentCore (2025): Specifically the Agent Runtime, Memory, Identity, and Tool Gateway layers.
• Multi-Agent Orchestration: Experience building or enabling collaborative systems using frameworks like LangGraph, CrewAI, or AutoGen.
• Model Context Protocol (MCP): Strong understanding of MCP and modern tool/API integration patterns for AI agents.
• AWS Certification: Must hold at least one of the following: AWS Certified Solutions Architect – Associate, AWS Certified Developer – Associate, or AWS Certified AI Practitioner.
• Willingness to learn emerging AI technologies, frameworks, and evolving cloud services.