Back
Mid-level ML/NLP role in Bangalore with broad LLM requirements creates high candidate competition.
Specialized Generative AI and NLP skills are transferable but require strong ML domain experience.
Explicit 6+ years plus mandatory LLM/NLP, RAG and cloud/GPU experience imposes high filtering.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop, optimize, and maintain advanced Python-based Generative AI applications using models like GPT, LLAMA, Mistral, and FLAN T5.
Build and manage advanced Retrieval-Augmented Generation (RAG) pipelines involving embeddings, indexing, chunking, reranking, prompts, and evaluation.
Collaborate with cross-functional teams and use cloud GPU resources (AWS, Azure, Databricks) to integrate AI features and deliver client-facing solutions efficiently.
5-8 years of experience as an NLP and Python developer working with Pandas, NumPy, Scikit-learn, and NLP frameworks.
Bachelor's or Master's degree in Engineering, Computer Science, Machine Learning, Mathematics, Statistics, or equivalent.
Proficient in Python programming, object-oriented design, data structures, and systems integration.
Experience with Generative AI models, RAG pipelines, and cloud platforms (AWS, Azure, Databricks); SQL and Spark knowledge preferred but not mandatory.
Experienced in the end-to-end NLP evolution including training data creation, model training, and fine-tuning procedures for large language models.
Has strong technical ownership in building scalable, high-performance AI systems and managing GPU memory effectively on cloud platforms.
Comfortable working independently and collaboratively with delivery leads and cross-functional teams to ensure timely deployment of AI-based client solutions.