oracle
Senior AI - ML Engineer
Fluke - Level 3
Karnataka, IND
Onsite
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We are seeking a Senior AI/ML Engineer to provide technical leadership within our Artificial Intelligence and Automation team.
The ideal candidate combines deep, hands-on expertise in building and scaling Machine Learning and Generative AI systems with the ability to lead the design and delivery of major initiatives.
You will drive the technical direction of significant AI programs across LLMs, Agentic AI, Retrieval-Augmented Generation (RAG), MLOps platforms, and Intelligent Automation.
As a senior technical leader, you will own the design of complex systems, raise engineering standards, mentor engineers across levels, and partner with stakeholders to align solutions with business goals.
Full Job Posting
Job Summary
We are seeking a Senior AI/ML Engineer to provide technical leadership within our Artificial Intelligence and Automation team.
The ideal candidate combines deep, hands-on expertise in building and scaling Machine Learning and Generative AI systems with the ability to lead the design and delivery of major initiatives.
You will drive the technical direction of significant AI programs across LLMs, Agentic AI, Retrieval-Augmented Generation (RAG), MLOps platforms, and Intelligent Automation.
As a senior technical leader, you will own the design of complex systems, raise engineering standards, mentor engineers across levels, and partner with stakeholders to align solutions with business goals.
Key Responsibilities
- Lead the technical design and delivery of large, complex ML and LLM systems, balancing performance, cost, reliability, and safety.
- Own the architecture of major AI features and services, making key design and technology decisions.
- Design and scale advanced RAG and knowledge systems, including hybrid retrieval, re-ranking, evaluation, and continuous improvement.
- Lead the design of sophisticated Agentic AI and multi-agent systems, including orchestration, tool use, and reliability.
- Mature the team's MLOps/LLMOps practices: CI/CD, model registries, monitoring, evaluation, drift detection, and automated retraining.
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