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Senior, niche LLM/ML role at a lesser-known, non-metro company reduces applicant density.
Heavy ML research and LLM productionization requirements limit cross-industry transferability.
Demands senior ML/LLM expertise, research publications, and productionization skills, making filters strict.
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Develop, refine, troubleshoot, and deploy advanced predictive models, deep learning algorithms, and machine learning frameworks.
Design and implement large language model (LLM) use cases with suitable guardrails and apply advanced LLM operations for production-level quality.
Analyze complex ML problems, conduct detailed root cause analysis, interpret research findings, and contribute to publishing research papers.
Work Experience Required: Not explicitly mentioned in the JD
Mandatory Skills: Expertise in AI/ML model development, debugging ML algorithms, large language model design and operationalization.
Educational Qualifications: Not explicitly mentioned in the JD
Location or Notice Period: Not explicitly mentioned in the JD
Experienced in bridging theoretical AI/ML research and production-quality system implementation, especially with LLMs.
Demonstrates strong analytical skills in diagnosing complex ML challenges and improving model performance.
Possesses research orientation with ability to contribute to academic publications and stay updated with latest AI/ML developments.