What are the responsibilities and job description for the AI ML Architect -Onsite - CTH position at Keylent Inc?
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.
AWS Bedrock AgentCore (2025): Familiarity with the latest ecosystem, 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