





Niche senior ML/AI role with specialized LLM and Azure skills reduces applicant competition.
Specialized ML/LLM and Azure skills make cross-industry transitions moderately constrained.
Strict technical Azure/LLM requirements and potential export-control limits increase filtering rigor.
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Develop and deploy AI/ML-powered applications with a focus on NLP using Python and Streamlit on Azure Cloud.
Select, fine-tune, and implement large language models and conduct prompt engineering to optimize AI model outputs.
Build scalable, serverless applications utilizing Azure OpenAI Studio and Azure AI services.
Proficient in Python programming and Streamlit for web application development.
Experience in Machine Learning, Natural Language Processing, and working with large language models.
Familiarity with Azure Cloud services including Azure OpenAI Studio and serverless function deployment.
Work Experience Required: Not explicitly mentioned in the JD.
Experience operating in cloud environments, specifically Azure, for AI/ML application deployment and scaling.
Hands-on expertise in selecting and fine-tuning large language models for diverse problem statements.
Ability to engineer and experiment with prompts to improve NLP model efficacy and application integration.