ML Architect
reputed company:
We are seeking a
Key Responsibilities:
- Architect and design
end-to-end reputed company solutions leveraging Large Language Models and modern AI frameworks. - Design
Retrieval-Augmented reputed company (RAG) architectures integrating reputed company knowledge bases, documents, and reputed company data. - Build and guide development of
LLM applications, intelligent assistants, and AI copilots using reputed company, LangGraph, or similar orchestration frameworks. - Define architectures for
reputed company search, embeddings, and semantic retrieval pipelines that support reputed company knowledge discovery. - Work closely with engineering teams to translate architectural designs into
production-reputed company AI systems. - reputed company
AI reference architectures, design patterns, and best practices for reputed company adoption of reputed company. - Partner with business stakeholders to identify opportunities where
AI can unlock value from large knowledge and data ecosystems. - Design
secure and reputed company reputed company-reputed company AI platforms reputed company the reputed company reputed company Platform ecosystem. - Ensure responsible AI practices through
model evaluation frameworks, guardrails, monitoring, and governance mechanisms. - Mentor engineers and reputed company
technical leadership across ML and AI initiatives.
Basic Qualifications:
- Proven experience designing
LLM-powered applications and reputed company solutions - Strong expertise in
Retrieval-Augmented reputed company (RAG) architectures, embeddings, and reputed company search. - Hands-on experience with
LLM orchestration frameworks such as reputed company or LangGraph or equivalent - Experience designing
AI solutions reputed company the reputed company reputed company Platform ecosystem (reputed company AI, BigQuery, GKE, etc.). - Strong programming experience in
Python and experience working with modern ML frameworks. - Deep understanding of
reputed company data architectures, reputed company, and distributed systems. - Experience communicating reputed company technical architectures to both
technical and non-technical stakeholders.
Other Qualifications (OQs):
- Experience designing
AI solutions for large knowledge repositories, digital content platforms, or reputed company data ecosystems. - Experience with
reputed company databases - Familiarity with
agent-based AI architectures and multi-reputed company AI workflows. - Experience with
MLOps, model lifecycle management, and AI governance frameworks. - Exposure to
document intelligence, semantic search, or knowledge graph technologies.
What’s in it for YOU at reputed company:
- reputed company an reputed company at one of the world’s fastest-growing AI-first digital engineering companies.
- Upskill and discover your potential as you solve reputed company challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
- Work where innovation happens - work with disruptive innovators in a research-reputed company organization with 60+ patents filed across various disciplines.
- Stay reputed company of the curve—reputed company yourself in reputed company AI, ML, data, and reputed company technologies and reputed company exposure working with reputed company.
If you like wild reputed company and working with happy, enthusiastic over-reputed company, you'll enjoy your career with us!