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Mid-level Data Scientist role in Bangalore with popular title and 3+ years experience increases applicant competition.
Specialized NLP, LLM fine-tuning and RAG skills limit cross-industry transferability.
Explicit 3+ years, mandatory NLP/LLM and Python/RAG technical requirements enforce strict shortlisting.
Develop and maintain advanced Python applications in the Generative AI domain, focusing on high performance, reliability, and scalability.
Implement and optimize state-of-the-art Generative AI models (e.g., GPT, LLAMA, Mistral, FLAN T5) and advanced RAG pipelines, including embeddings, indexing, chunking, reranking, prompts, and evaluation.
Collaborate with cross-functional teams to integrate AI functionalities and assist delivery leads to ensure timely client delivery of Generative AI solutions.
Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Machine Learning, Mathematics, Statistics) or equivalent experience.
3+ years of hands-on work experience in data science/NLP and Python development, including building and optimizing ML models.
Proficient in Python programming with experience in NumPy, Pandas, Scikit-learn, and NLP frameworks; experience with Natural Language Processing and advanced RAG pipelines.
Experience or familiarity with cloud platforms (AWS, Azure, Databricks) and GPU resource management; experience with GitHub and Jira; SQL skills preferred but not mandatory.
Strategic focus on developing scalable and efficient Generative AI solutions using cutting-edge NLP models and pipelines.
Experience working both independently and collaboratively in fast-paced, innovative environments, supporting project delivery and client engagements.
Strong foundation in object-oriented design, data structures, system integration, and ability to work with multiple data sources and testing tools.