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Tier-1 brand, metro location, and sought-after ML leadership skills increase competition, tempered by seniority.
Deep ML/LLM expertise and senior leadership focus limit cross-industry transferability.
Explicit 12–15 years, advanced degree, and specialized ML/LLM skills make filtering highly strict.
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Develop, test, and optimize LLM prompts collaborating with domain experts to meet diverse business needs.
Lead integration of LLM solutions into software applications and contribute to building a scalable prompt engineering framework across business units.
Analyze user feedback and stay current on LLM advancements to inform strategic technology and platform decisions.
Master's degree in Computer Science, Engineering, Mathematics, or related field.
12-15 years of relevant experience including prompt engineering and working with LLM tools like OpenAI’s GPT or Hugging Face.
Proficiency in Python or relevant AI/ML programming languages.
Willingness to travel minimum 2 weeks per year.
PhD in Computer Science, Engineering, Data Science, AI Engineering, or related field preferred.
Experience with machine learning frameworks (e.g., PyTorch) and data libraries (e.g., Pandas, NumPy).
Familiarity with NLP projects, version control systems like Git, and understanding of traditional industry operations.