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Senior niche GenAI/NLP role with unknown employer reduces applicant density; remote is the sole amplifier.
Highly specialized NLP and GenAI expertise limits cross-industry transferability.
Explicit 10+ years plus mandatory NLP/GenAI and MLOps skills create stringent screening filters.
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Own end-to-end development and deployment of NLP and Generative AI solutions, including text classification, summarization, conversational AI, and retrieval-augmented generation (RAG) systems.
Build, fine-tune, and evaluate large language models (LLMs) using transformer architectures like BERT, GPT, T5, and LLaMA, and implement custom NLP workflows including embeddings and semantic search.
Collaborate with product, engineering, and business teams to translate requirements into scalable AI models and monitor deployed model performance for continuous optimization.
10+ years of experience in data science with hands-on expertise in NLP and Generative AI.
Proficient in transformer models and NLP libraries such as Hugging Face, spaCy, and NLTK.
Strong Python programming skills with experience in PyTorch and TensorFlow for deep learning model development.
Practical experience with Retrieval-Augmented Generation (RAG) architectures, vector search, prompt tuning, and MLOps for model deployment on cloud platforms (Azure preferred).
Senior-level data scientist specialized in NLP and Generative AI capable of leading advanced model development and productionization.
Experienced in designing complex AI workflows including embeddings, semantic search, and RAG systems in a collaborative, cross-functional environment.
Familiar with cloud-based MLOps practices for scalable deployment and performance monitoring of AI applications.