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Strong employer brand and metro location increase applicant density despite senior specialization.
ML/AI skills transfer across industries but energy domain knowledge and seniority increase specificity.
Explicit 12–15 years requirement and specialized ML/AI skills will enforce strict shortlisting.
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Design, develop, and optimize large language model (LLM) prompts collaborating with domain experts to meet varied business needs.
Create and maintain a scalable prompt engineering framework enhancing reuse and cross-business knowledge sharing.
Integrate LLM solutions into software applications and analyze user feedback to continuously improve prompt effectiveness.
Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field.
12-15 years of relevant experience in prompt engineering and AI/ML development.
Proficiency in Python and familiarity with LLM tools such as OpenAI GPT models, Hugging Face.
Willingness to travel at least 2 weeks per year.
Holds a Master’s or PhD degree in Computer Science, Engineering, Data Science, AI Engineering, or related field.
Experienced with machine learning frameworks (e.g., PyTorch), data processing libraries (e.g., Pandas, NumPy), and version control systems like Git.
Understands traditional industry operations and can bridge advanced AI technologies with practical business challenges.