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Niche LLM/ML skillset, non-metro location, unknown brand, and one mid-level experience amplifier reduce applicant competition.
ML/AI skills like TensorFlow, PyTorch, LLMs transfer across industries, but domain knowledge adds moderate bias.
Explicit three-year minimum plus required ML/LLM and TensorFlow/PyTorch skills enforce moderately strict technical filters.
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Develop and deploy AI/ML solutions including Large Language Model applications, computer vision, and intelligent automation.
Train, fine-tune, and optimize machine learning models with a focus on LLMs and related technologies such as RAG systems and prompt engineering.
Implement AI models using frameworks like TensorFlow or PyTorch and handle aspects of MLOps and cloud deployment (Azure ML, AWS SageMaker preferred).
Minimum 3 years of hands-on experience with AI/ML technologies.
Strong programming skills in Python.
Proficiency with ML frameworks such as TensorFlow or PyTorch.
Experience with Large Language Models (LLMs) and understanding of related technologies like RAG systems and vector databases.
Experienced in building and deploying real-world AI solutions with measurable impact.
Skilled in working with modern AI architectures and LLMs, demonstrating deep technical expertise.
Adaptable engineer comfortable working independently in a fast-paced, results-driven environment focused on efficient problem solving.