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Mid-level, metro Bangalore role with popular ML/NLP skills and broad requirements increases candidate competition.
Advanced NLP and LLM focus moderately limits cross-industry transferability.
Explicit 5-8 years plus mandatory NLP/LLM and tech skills create high filtering.
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Develop and maintain advanced Python-based applications in Generative AI, focusing on high performance, reliability, and scalability.
Implement and optimize Generative AI models (e.g., GPT, LLAMA, Mistral, FLAN T5) and develop advanced Retrieval-Augmented Generation (RAG) pipelines with embeddings, indexing, chunking, reranking, prompts, and evaluation.
Collaborate with cross-functional teams to integrate AI functionalities and assist delivery leads in timely deployment of Generative AI solutions to clients.
Bachelor's or Master's degree in Computer Science, Machine Learning, Mathematics, Statistics, Engineering, or equivalent.
5+ years of hands-on experience in data science and NLP development, including Python programming and ML model building.
Strong experience with Python libraries such as Pandas, NumPy, Scikit-learn, and NLP frameworks (e.g., NLTK); knowledge of RAG pipelines and Generative AI models.
Preferred experience with cloud platforms like AWS, Azure, or Databricks; familiarity with GitHub and Jira.
Deep understanding of NLP evolution from traditional language models to modern large language models and hands-on expertise in Generative AI model implementation.
Experienced in integrating multiple data sources, optimizing GPU resource management on cloud platforms, and developing production-ready AI applications.
Comfortable working independently and collaboratively in fast-paced, innovative environments with a focus on delivering client-centric AI solutions.