5–6 years of overall experience in AI/ML development,
with 3+ years specifically on Azure AI tools.
Strong experience with Azure Cognitive Services (e.g.,
Vision, Speech, Language, and Decision APIs).
Proficient in Python (preferred), with experience using ML
libraries such as scikit-learn, TensorFlow, or PyTorch.
Experience with Azure Machine Learning, Auto-ML, and
deployment using Docker/AKS.
Familiarity with Azure OpenAI Service, prompt
engineering, and working with large language models
(LLMs).
Good understanding of data preprocessing, feature
engineering, and model evaluation techniques.
Strong grasp of cloud architecture, cost optimization, and
secure deployment practices on Azure.