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Popular mid-level ML/NLP role, metro location, broad LLM skillset increases applicant competition.
Specialized NLP and Generative AI skills limit cross-industry transferability.
Explicit 6+ years, mandatory NLP/LLM experience and specific technical skills enforce strict shortlisting.
Develop and maintain advanced Python-based applications focused on Generative AI, ensuring high performance, reliability, and scalability.
Implement and optimize state-of-the-art Generative AI models including GPT, LLAMA, Mistral, FLAN T5, and build advanced Retrieval-Augmented Generation (RAG) pipelines with embeddings, indexing, chunking, reranking, prompts, and evaluation.
Collaborate with cross-functional teams to integrate AI solutions into broader systems and support delivery leads in client engagements ensuring timely and successful deployment.
Bachelor's or Master's degree in Computer Science, Machine Learning, Mathematics, Statistics, Engineering, or equivalent quantitative discipline.
Minimum 6 years of hands-on experience as an NLP and Python developer with deep knowledge of the evolution of NLP models and Generative AI techniques.
Strong programming skills in Python with experience in NumPy, Pandas, Scikit-learn, and NLP libraries such as NLTK.
Preferred experience with cloud platforms like AWS, Azure, Databricks and managing GPU memory; SQL and Spark experience preferred but not mandatory.
Experienced professional with comprehensive and up-to-date knowledge of NLP evolution and Generative AI including model training, fine-tuning, and implementation of cutting-edge architectures.
Operates effectively in fast-paced, innovative environments requiring independent work and cross-team collaboration with good documentation and project management tool familiarity (GitHub, Jira).
Strong foundation in object-oriented design, data structures, systems integration, and advanced AI analytics optimized for production deployment.