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Tier-1 brand, remote option, and metro location increase candidate density despite specialized ML/LLM requirements.
Heavy LLM, MLOps, and agentic AI requirements make switching from non-ML backgrounds difficult.
Explicit 8+ years plus mandatory LLM, MLOps, and agentic AI experience enforces rigorous candidate filters.
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Lead design, development, and deployment of advanced machine learning models and AI algorithms, including Large Language Models (LLMs) and agentic AI systems.
Implement MLOps best practices for scalable, reliable AI model deployment, monitoring, and maintenance.
Collaborate cross-functionally to translate business needs into AI/ML solutions and mentor junior team members in data science and AI development.
8+ years of experience in IT, data science, AI/ML, or related fields.
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related discipline.
Proven experience deploying AI/ML models in production, including hands-on work with LLMs, MLOps, and agentic AI systems.
Proficiency in Python programming and strong expertise in AI/ML algorithms including supervised, unsupervised, and reinforcement learning.
Experienced with Large Language Models such as GPT or BERT and agentic AI systems focused on autonomous decision-making.
Practitioner of MLOps for continuous integration/deployment and operationalizing AI models at scale.
Able to bridge technical AI development with business objectives and document methodologies for reproducibility.