Back
Niche ML/LLM lead role in Gurgaon metro at a lesser-known employer yields moderate competition.
Specialized LLM, prompt engineering, and Azure AI requirements limit transferability, yielding medium background sensitivity.
Mandated ML/NLP, Azure OpenAI, LLM, Streamlit, and deployment skills enforce moderate shortlisting strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop, implement, and optimize machine learning and NLP models, focusing on performance and scalability.
Build, integrate, and deploy AI/ML-powered web applications using Python, Streamlit, and Azure Cloud services.
Select and fine-tune large language models, execute prompt engineering, and utilize Azure OpenAI Studio and AI services to create scalable, serverless applications.
Experience developing and deploying AI/ML applications with expertise in Machine Learning, NLP, and Python.
Proficiency in Streamlit for web application development.
Familiarity with Azure Cloud including Azure OpenAI Studio, Azure AI Services, and scalable serverless deployment.
Work Experience Required: Not explicitly mentioned in the JD.
Hands-on experience working end-to-end on AI/ML model selection, tuning, and deployment in cloud environments.
Ability to design and refine prompts to enhance language model outputs.
Comfortable building scalable, maintainable AI applications leveraging Azure services and serverless architecture.