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Strong Tier-1 brand, Bengaluru metro, and hot ML/AI field drive high competition.
Core ML/AI skills are transferable across industries, though energy domain knowledge moderately matters.
Explicit 8-12 years, master's requirement, and ML/AI technical expertise create strict shortlisting filters.
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Collaborate with domain experts to design, develop, and optimize prompts for Large Language Models (LLMs) across multiple business use cases, ensuring high accuracy and relevance.
Develop and maintain a scalable prompt engineering framework to maximize reuse and knowledge sharing across business units.
Integrate LLM solutions with software applications and analyze user feedback to iteratively improve prompt effectiveness.
Master’s degree in Computer Science, AI/ML, Engineering, Mathematics, or related field.
8-12 years of relevant experience in AI/ML or prompt engineering.
Proficiency in Python and experience with LLM tools like OpenAI GPT models or Hugging Face.
Legal authorization to work in the U.S. without visa sponsorship; willingness to travel minimum 2 weeks per year.
Experienced in machine learning frameworks (e.g., PyTorch) and data processing libraries (e.g., Pandas, NumPy).
Demonstrated ability to translate complex business needs into technical solutions involving NLP and prompt engineering.
Familiar with version control (e.g., Git) and has understanding of challenges in traditional industry settings.