Über
Lead technical discovery sessions and design end-to-end ML architectures tailored to client needs Manage client relationships and expectations while ensuring satisfaction and successful project delivery Architect agentic AI solutions that leverage advanced decision-making capabilities and tool orchestration
Required qualifications
Advanced knowledge of AWS ML and data services, including SageMaker and Bedrock Deep understanding of the full ML lifecycle, from data processing to deployment Experience with agentic engineering and AI-assisted development tools Proven ability to design scalable, production-grade ML architectures Hands-on experience with agent frameworks and multi-agent orchestration patterns
Sprachkenntnisse
- English
Hinweis für Nutzer
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