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Tier-1 brand, mid-level ML role, Bangalore location, and generalist AI skillset drive high competition.
Core ML/LLM and cloud skills transfer broadly, though domain-specific fine-tuning increases industry bias.
Requires specialized LLM fine-tuning, RAG pipeline and cloud deployment skills, enforcing strict technical filters.
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Design and implement Retrieval-Augmented Generation (RAG) pipelines for intelligent AI solutions.
Fine-tune and optimize ML/LLM models tailored to domain-specific applications.
Deploy and scale AI solutions on cloud platforms such as Azure or GCP, integrating models into scalable software workflows.
Bachelor's degree in Engineering or B.Tech.
Experience working with machine learning/large language models and data pipelines.
Familiarity with cloud platforms like Azure and/or GCP for deployment and scaling.
Work Experience Required: Not explicitly mentioned in the JD
Experienced in developing and optimizing domain-specific ML or LLM models.
Skilled in cloud-based AI solution deployment and integration.
Able to handle end-to-end AI pipeline development including data preprocessing, feature engineering, and deployment.