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Tier-1 brand, Bangalore location, generalist AI/ML role, and broad skillset yield high competition.
Core ML/LLM and cloud skills are broadly transferable, though domain-specific fine-tuning increases sensitivity moderately.
Requires specific ML/LLM, RAG and cloud deployment skills but no explicit years, so medium strictness.
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Design and implement Retrieval-Augmented Generation (RAG) pipelines for intelligent solutions.
Fine-tune and optimize machine learning and large language models for domain-specific applications.
Develop, deploy, and scale AI solutions on cloud platforms (Azure/GCP), integrating models into scalable software tools and workflows.
Bachelor's degree in Engineering or B.Tech.
Experience with ML and LLM model fine-tuning and optimization.
Experience deploying AI solutions on Azure or GCP cloud platforms.
Work Experience Required: Not explicitly mentioned in the JD
Experienced in building end-to-end AI/ML pipelines including data preprocessing and feature engineering.
Comfortable working with complex AI models focused on prediction, automation, and classification.
Capable of integrating AI technologies into scalable software workflows with cloud deployment expertise.