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Mid-level, metro-based AI role with 3–5 years experience creates moderate applicant density.
Specialized ML, Generative AI, and Azure OpenAI requirements limit cross-industry transferability.
Explicit 3–5 years plus many mandatory Azure/LLM technical skills enforce strict shortlisting.
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Develop, deploy, and optimize AI/ML solutions including Machine Learning models for predictive analytics, NLP, and Generative AI on Azure Cloud.
Design and implement AI applications using Azure OpenAI Studio and Azure AI Services integrating Large Language Models (LLMs) based on business needs.
Collaborate with cross-functional teams to integrate AI-driven solutions into enterprise applications; develop scalable web applications and serverless functions on Azure.
Bachelor's or Master's degree in Computer Applications, Computer Science, AI, Data Science or related field (or equivalent experience).
3–5 years experience in AI/ML development with hands-on experience in Machine Learning, NLP, and Generative AI.
Strong expertise in Python, Streamlit, Azure OpenAI Studio, Azure AI Services, and deploying AI/ML models on Azure Cloud.
Proven experience with ML frameworks like scikit-learn, XGBoost, LightGBM, TensorFlow, or PyTorch.
Experienced in applying advanced AI/ML techniques including prompt engineering and Retrieval-Augmented Generation (RAG) to improve model performance.
Skilled in end-to-end AI/ML model lifecycle management on Azure including development, deployment, and integration with enterprise solutions.
Demonstrated ability to select and deploy appropriate Large Language Models (LLMs) aligned with specific business use cases.