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Senior R&D ML role with niche LLM expertise and non-metro, lesser-known employer reduces applicant competition.
Role requires specialized ML research and LLM skills, making industry transferability limited and domain-sensitive.
Senior R&D ML expectations and specialized LLM/production skills imply moderate-to-strict screening without explicit years.
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Develop, refine, and deploy advanced AI/ML models including deep learning algorithms and large language models (LLMs).
Investigate and resolve issues within machine learning algorithms, ensuring robustness and performance excellence.
Lead LLM use case design with emphasis on production readiness and integration of guardrails and advanced operational techniques.
Experience with predictive modeling, deep learning, and machine learning frameworks.
Demonstrated ability to train and retrain AI systems with continuous improvement focus.
Work Experience Required: Not explicitly mentioned in the JD.
Not explicitly mentioned in the JD regarding educational qualifications or notice period.
Strong technical expertise in building and troubleshooting complex ML architectures and LLM deployment.
Ability to translate theoretical AI/ML concepts into scalable, production-quality solutions.
Proactive in research, data analysis, and team collaboration to drive AI innovation and problem solving.