Candidate should have 2+ years of hands-on experience as AI/ML engineer and should have proven experience in real implementation projects with respect to this skillset.
Expertise in python is required
Experience in data normalization, data cleansing, and data validation techniques
Deep understanding of machine learning and AI technologies, including the ability to design, train, and implement machine learning models and use natural language processing techniques for automation.
Experience with ML/AI frameworks (e.g., TensorFlow PyTorch, Scikit-learn or similar).
Experience with working with both structured and unstructured data
Knowledge of Azure related AI/ML services is preferrable,
Experience with building Python application and library development and RESTful web service API development
Experience in the finance industry and familiarity with financial data sources is preferrable
Candidate should have good knowledge in implementing best practices in AI/ML domain
Experience in Azure Cognitive services like Language service, Form Recognizer, BOT framework, Open AI etc.