
Chief Data Architect
2 days ago
Lead Architect for Data and AI
Description:The ideal candidate will have a strong background in data architecture, distributed systems, or ML platform engineering with at least 10 years of experience.
- Key Responsibilities:
- Design and Implement ML Pipelines: The lead architect will be responsible for designing and implementing scalable, production-grade ML pipelines that enable seamless integration across distributed systems and AI-powered applications.
- Experience with LLM Orchestration: Experience working with LLM orchestration frameworks, retrieval-augmented generation (RAG), and prompt engineering strategies is highly desirable.
- Technical Skills:
- Programming Languages: Proficiency with at least one programming language such as Python, Go, or Java.
- AI/ML Frameworks: Familiarity with AI/ML frameworks like LangChain, Haystack, Hugging Face Transformers, or similar technologies.
- RESTful APIs: Strong understanding of designing and building scalable, production-grade RESTful APIs.
- Strong Communication Skills: Excellent communication skills are essential for delivering complex systems in fast-paced environments.
- Scalable System Design: The ability to design and implement scalable, production-grade systems that meet the needs of large-scale organizations.
- Agile Development: Experience with agile development methodologies and version control systems.
Preferred Qualifications:
- Open-Source Projects: Familiarity with open-source projects like LangGraph, AutoGPT, CrewAI, and ReAct-based agent architectures.
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