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Niche AI/ML skillset and smaller employer reduce applicant competition.
AI/ML skills are transferable across industries but Azure/LLM platform specifics increase domain sensitivity.
Multiple specific AI/ML technical requirements (Azure, LLMs, Python) create moderate screening strictness.
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Develop, train, evaluate, and deploy AI/ML models using Azure AI Services and related technologies.
Integrate AI-powered solutions including Generative AI, LLMs, and Retrieval-Augmented Generation into applications.
Collaborate in Agile teams with responsibility for documentation, testing, debugging, and continuous improvement of AI/ML applications.
Proficiency in Python and familiarity with AI/ML frameworks and libraries.
Understanding of Azure AI Services, Azure Machine Learning, and Azure OpenAI Services.
Work Experience Required: Not explicitly mentioned in the JD.
Knowledge of Machine Learning concepts including model training, evaluation, and deployment.
Experience or strong interest in Machine Learning domains such as Generative AI, NLP, intelligent automation, and AI-powered solution development.
Comfortable operating within Agile development environments with collaborative team involvement and version control (Git).
Ability to manage multiple tasks with ownership, accountability, and strong communication for progress reporting and coordination.