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Mid-level AI role, metro recruiting, and common 3–5 year requirement drive moderate competition.
Core ML/NLP skills transfer across industries, but Azure/OpenAI specialization moderately narrows fit.
Multiple mandatory Azure/OpenAI, ML, deployment, and 3–5 year experience requirements create strict shortlisting.
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Develop, deploy, and optimize AI/ML solutions including machine learning models and Generative AI on Azure Cloud platforms.
Design and implement AI-powered applications integrating NLP, predictive analytics, and Large Language Models according to business needs.
Collaborate with cross-functional teams for integration and maintain scalable web applications and serverless functions using Azure services.
Bachelor's or Master's degree in Computer Applications, Computer Science, AI, Data Science, or related field (or equivalent experience).
3–5 years of experience in AI/ML development with strong expertise in Machine Learning, NLP, and Generative AI.
Proficiency in Python, Streamlit web apps, Azure OpenAI Studio, Azure AI Services, Azure AI Foundry, Azure AI Search, plus ML frameworks like scikit-learn, XGBoost, LightGBM, TensorFlow, or PyTorch.
Experience developing and deploying scalable applications and serverless functions on Azure Cloud; familiarity with prompt engineering and LLM selection/integration.
Experienced AI/ML developer skilled in both traditional ML and advanced Generative AI implementations on Azure ecosystem.
Capable of independently designing end-to-end AI solutions including model training, optimization, prompt engineering, and application deployment.
Convenient with cloud-native AI/ML tools and CI/CD processes using Visual Studio Code, Azure DevOps, with experience in prompt engineering and LLM usage to drive business impact.