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Niche LLM/NLP senior role reduces applicant pool despite common Data Scientist title and hybrid metro context.
Generative AI, NLP and RAG expertise are specialized and not easily transferable across industries.
Strict 6+ years NLP/LLM requirement plus specific Python, RAG, and cloud skills required.
Develop and maintain advanced Python applications focused on Generative AI technologies including GPT, LLAMA, Mistral, FLAN T5, with emphasis on performance, reliability, and scalability.
Design and implement complex RAG (Retrieval-Augmented Generation) pipelines involving embeddings, indexing, chunking, reranking, prompting, and evaluation.
Collaborate cross-functionally to integrate AI solutions into client projects, managing GPU resources on cloud platforms like AWS, Azure, or Databricks to optimize AI model execution.
Bachelor's or Master's degree in a quantitative or engineering field such as Computer Science, Machine Learning, Mathematics, or Statistics.
6+ years of hands-on experience in data science and NLP-focused Python development, including ML model building and advanced Python libraries (NumPy, Pandas, Scikit-learn).
Proficiency in NLP evolution, training data creation, advanced RAG pipeline components, and practical application of Generative AI models.
Experience with cloud GPU platforms (AWS, Azure, Databricks) for AI model deployment and optimization.
Strong expertise in end-to-end NLP development with Python, comfortable with object-oriented design and integrating multiple data sources.
Deep knowledge of Generative AI technologies and NLP advancements, including large language models and RAG pipeline components.
Capable of independently managing AI project deliverables while collaborating effectively with technical and delivery teams in a fast-paced environment.