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Strong bank brand and metro locations increase competition, but senior specialized role limits applicant density.
Highly specialized ML/LLM skillset and leadership expectations reduce cross-industry transferability.
Explicit 12+ years and required LLM/ML expertise make hiring filters very strict.
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Develop and maintain software across the full lifecycle within a permanent feature team focusing on business, applications, data, and infrastructure platforms.
Collaborate with principal engineers, architects, and stakeholders to align platform functionality with business objectives.
Design and develop resilient, scalable software with emphasis on automation in build, test, and deployment using Agile methodologies and innovative prototyping.
Minimum 12 years of full stack software design and implementation experience.
Proficiency in Python and Machine Learning frameworks including NumPy, Pandas, PyTorch, TensorFlow, Transformers.
Hands-on experience with Large Language Models such as OpenAI, Azure OpenAI, Anthropic, or Llama.
Work Experience Required: Minimum 12 years as stated; Notice period: Not explicitly mentioned in the JD.
Experienced in complex requirements analysis and able to validate these against business and systems needs.
Skilled in Machine Learning/Deep Learning algorithms and NLP, including deep architectures and vector embeddings.
Strong ability to collaborate with business teams and effectively communicate complex technical concepts to non-technical stakeholders.