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Metro location and hot AI domain raise competition, though deep seniority lowers candidate density.
Role requires deep ML/AI leadership and prompt engineering expertise, limiting cross-industry transferability.
Explicit 16-19 years requirement plus specialized ML/AI and prompt engineering skills make filters highly strict.
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Develop and optimize prompts for large language models (LLMs) across multiple business use cases to ensure high accuracy and relevance.
Collaborate with domain experts and software developers to translate business needs into effective prompt solutions and integrate these into applications.
Build and maintain a scalable framework for prompt engineering to enable prompt reuse and knowledge sharing across business units.
Master’s degree in Computer Science, Engineering, Mathematics, or related field.
16-19 years of relevant work experience in AI, prompt engineering, or closely related areas.
Experience with prompt engineering tools such as OpenAI GPT models, Hugging Face, and proficiency in Python or similar programming languages.
Willingness to travel a minimum of 2 weeks per year.
PhD in Computer Science, Engineering, Data Science, AI Engineering, or related field preferred for strategic research and development input.
Experience with machine learning frameworks (e.g., PyTorch) and data processing libraries (e.g., Pandas, NumPy) indicating strong AI/ML technical depth.
Familiarity with NLP or machine learning projects, version control systems like Git, and understanding of traditional industry operations for effective cross-functional collaboration.