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Remote role and known brand increase applicants, but senior, specialized ML/LLM skills narrow the pool.
Low because LLM, MLOps, and general ML skills are broadly transferable across industries.
High due to explicit 8+ years requirement and mandatory LLM, MLOps, and agentic AI expertise.
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Lead development and deployment of advanced machine learning models and AI algorithms addressing strategic business challenges.
Drive initiatives involving Large Language Models (LLMs), MLOps practices, and agentic AI systems for scalable, autonomous solutions.
Collaborate with cross-functional teams to translate business requirements into robust AI/ML technical solutions and mentor junior data scientists.
8+ years 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 with Large Language Models, MLOps, and agentic AI systems in production environments.
Proficiency in Python and experience with AI/ML algorithms including supervised, unsupervised, and reinforcement learning.
Experienced leader in AI/ML model development with hands-on expertise in cutting-edge technologies such as LLMs and agentic AI.
Operates effectively in cross-functional, global team settings delivering scalable AI solutions using modern MLOps practices.
Brings strategic technical vision coupled with mentorship ability for advancing data science capabilities within the team.