oracle
AI-ML Engineer II
Fluke - Level 3
Karnataka, IND
Onsite
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We are seeking a highly capable AI/ML Engineer II to serve as a strong individual contributor within our Artificial Intelligence and Automation team.
The ideal candidate has a track record of delivering complex, production-grade Machine Learning and Generative AI systems and can own significant modules end to end with minimal supervision.
You will lead the technical design of AI features across LLMs, Agentic AI, Retrieval-Augmented Generation (RAG), MLOps, and Intelligent Automation, and set a high bar for engineering quality.
You will act as a go-to technical resource on your projects, mentor less-experienced engineers, and collaborate with architects and stakeholders to deliver scalable, reliable AI solutions.
Full Job Posting
Job Summary
We are seeking a highly capable AI/ML Engineer II to serve as a strong individual contributor within our Artificial Intelligence and Automation team.
The ideal candidate has a track record of delivering complex, production-grade Machine Learning and Generative AI systems and can own significant modules end to end with minimal supervision.
You will lead the technical design of AI features across LLMs, Agentic AI, Retrieval-Augmented Generation (RAG), MLOps, and Intelligent Automation, and set a high bar for engineering quality.
You will act as a go-to technical resource on your projects, mentor less-experienced engineers, and collaborate with architects and stakeholders to deliver scalable, reliable AI solutions.
Key Responsibilities
- Lead the technical design and delivery of complex ML and Generative AI components, owning them from requirements through production.
- Develop, fine-tune, and optimize models and LLM pipelines with strong attention to accuracy, latency, cost, and reliability.
- Architect and improve advanced RAG systems, including hybrid retrieval, re-ranking, chunking strategy, and evaluation.
- Design and build production Agentic AI and multi-agent workflows with robust tool use, orchestration, and error handling.
- Drive engineering quality: establish patterns, conduct thorough code and design reviews, and reduce technical debt.
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