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Tier-1 brand, metro locations, and mid-level applicant range drive high competition.
Role requires specialized ML/LLM expertise and healthcare domain experience, limiting cross-industry transferability.
Explicit 5+ years and mandatory ML/LLM tech stack (Python, Hugging Face, TensorFlow) create stringent filters.
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Lead design and development of machine learning and NLP models, specializing in Large Language Models (LLMs) including fine-tuning and prompt engineering.
Develop and maintain enterprise-grade data pipelines and evaluation frameworks supporting AI/ML models in a healthcare context.
Collaborate across AI/ML engineers, data scientists, and product teams to acquire/process data, debug ML issues, and deliver scalable data-driven solutions.
5+ years of professional experience in data science, analytics, or related fields.
3+ years of hands-on experience with Machine Learning, NLP (transformer-based models), and LLM technologies.
Proficiency in Python, SQL, Hugging Face, TensorFlow & Keras is mandatory; experience with PyTorch, Spark, and Cloud platforms (GCP/AWS) preferred.
Bachelor's or master's degree in Computer Science, Mathematics, Statistics, Computational Linguistics, Engineering, or related field; Ph.D. preferred.
Experienced in applying machine learning and NLP specifically in US healthcare data and regulatory environment.
Capable of independent decision-making and technical/business judgment with minimal supervision.
Strong technical and strategic thinker who can translate complex healthcare datasets into actionable AI/ML solutions and work cross-functionally.