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Senior, niche ML/LLM requirements reduce applicants, but strong brand and metro location increase competition.
Deep ML/LLM expertise plus FS consulting experience limits transferability across industries.
Explicit 16-20 years, mandatory deep learning, LLM, consulting and client-facing requirements enforce high selectivity.
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Build and deploy end-to-end NLP solutions utilizing both traditional models and Large Language Models (LLMs) for analyzing unstructured text data such as user comments and chat transcripts.
Lead research, fine-tuning, and performance evaluation of generative AI and LLM models, maintaining code libraries and frameworks to support development.
Collaborate with cross-functional teams through the software development lifecycle and manage project streams to deliver business-impacting AI solutions in the FS and banking domain.
16-20 years of experience in Deep Learning frameworks such as Keras, PyTorch, TensorFlow.
Proficient in Python and SQL; experienced with NLP tools like Gensim, spaCy, Stanford NLP, and HuggingFace.
Consulting experience in Financial Services and Banking domain for at least 3 years.
Degree: B.E./B.Tech/M.Tech in Computer Science or related technical field or equivalent.
Experienced in deploying NLP solutions with a strong focus on generative AI, SaaS LLMs, and related cloud platforms (Azure, AWS, GCP).
Manages multiple projects and work streams effectively, demonstrating strong project/program management and business acumen to quantify and deliver client value.
Client-facing skills with ability to build deep relationships, support sales growth, and contribute to team coaching and firm building activities.