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Metro Gurgaon and popular AI/ML domain increase competition, but senior niche LLM focus reduces density.
ML/NLP skills transfer across industries, but Azure/OpenAI and prompt-engineering specifics create moderate domain bias.
No explicit years but requires senior technical lead skills and specific Azure/OpenAI/LLM experience.
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Develop, optimize, and deploy machine learning models focused on NLP using Python and Streamlit.
Select and fine-tune large language models and design prompts to improve AI-driven application quality.
Build scalable, serverless AI/ML applications on Azure Cloud utilizing Azure OpenAI Studio and Azure AI services.
Experience required in machine learning, NLP, Python, Streamlit, and Azure Cloud services.
Proven ability to select and fine-tune large language models and perform prompt engineering.
Experience developing and deploying scalable serverless applications on Azure Cloud.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in hands-on AI/ML development with a focus on integrating LLMs and prompt engineering into applications.
Skilled in cloud-native deployment, particularly Azure serverless architectures and AI services.
Capable of end-to-end project ownership including model development, application integration, and deployment for scalable AI solutions.