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Mid-level role with niche LLM specialization and moderate brand yields medium applicant density.
Advanced NLP/LLM skills are transferable across industries but require ML-specific experience.
Explicit 5-8 years and specialist LLM/NLP skillset create stringent screening.
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Lead development and optimization of complex data models and machine learning pipelines.
Oversee end-to-end data science project management and execution ensuring alignment with organizational goals.
Mentor junior data scientists and provide strategic guidance on data science technologies.
Bachelor's or Master's degree in CS, Machine Learning, Mathematics, Statistics, or equivalent.
5+ years of hands-on data science experience building ML models.
Strong Python programming skills including libraries like NumPy, Pandas, Scikit-learn.
Must have experience with NLP including knowledge of Traditional to Modern Large Language Models and RAG pipelines.
Experienced with both supervised and unsupervised machine learning, deep learning, and neural networks relevant to NLP.
Able to manage and deliver data science projects end-to-end in fast-paced environments.
Familiarity with cloud platforms like Azure, AWS, and Databricks is a plus but not mandatory.