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Tier-1 brand, mid-level GenAI role in Bengaluru with broad candidate pool drives high competition.
Role demands specialized GenAI, LLM and RAG expertise, limiting cross-industry transferability.
Explicit 4–8 years requirement plus mandatory LLM, RAG, and MLOps skills makes filters highly strict.
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Design, develop, and deploy AI/ML models focusing on Generative AI applications using large language models (LLMs) like GPT, Claude, Llama, Gemini.
Develop Retrieval-Augmented Generation (RAG) solutions using vector databases and fine-tune foundation models for domain-specific business applications.
Collaborate with cross-functional teams to implement MLOps for AI model lifecycle management including deployment, monitoring, and scalability.
4-8 years of relevant work experience in AI and data analytics.
Mandatory skills include building and optimizing Generative AI applications with LLMs and developing RAG solutions using vector databases.
Education required: B.Tech, M.Tech, MBA, or MCA.
No mention of notice period, location restrictions, or visa sponsorship; governmental clearance not required.
Experience in deploying AI solutions in enterprise-scale projects, preferably involving AI transformation initiatives.
Strong technical expertise in AI/ML model fine-tuning, MLOps, and API/microservices development for AI integration.
Ability to work collaboratively with data engineers, software developers, and business stakeholders to translate AI capabilities into business impacts.