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Data Analysis and Modelling:
Analysis and Modelling: Develop and deploy machine learning and artificial intelligence models and algorithms data for modelling Work with data engineering teams to ensure data availability and quality Model Evaluation Deployment: Evaluate model performance and fine-tune models for improved accuracy Deploy models in production Implement best practices for model version control and management Ensure proven models are integrated into business requirement for human intervention to implement the model within their respective businesses Cross-Functional
develop, manage and monitor relevant reporting models, to provide advanced analytical support, to critically team to price and implement Machine Learning or AI models that optimizes portfolio outcomes Automation of Experience 2-5 years' experience in Data Analytics, Modelling and Reporting Credit Underwriting would be an
develop, manage and monitor relevant reporting models, to provide advanced analytical support, to critically team to price and implement Machine Learning or AI models that optimizes portfolio outcomes Automation of Experience 2-5 years' experience in Data Analytics, Modelling and Reporting Credit Underwriting would be an
technologies including Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), Text-to-Speech systems Practical experience with Large Language Models (LLMs) Proficient in API integration and development Text-to-Speech (TTS), Speech-to-Text (STT), Large Language Models (LLMs), and integrating APIs Apply now For more
technologies including Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), Text-to-Speech systems
role in designing, developing, and implementing AI models and algorithms to solve complex business challenges Responsibilities: Create, build, and deploy AI models and algorithms to meet business requirements. Employ techniques. Prepare and sustain documentation for AI models, processes, and tools. Offer technical expertise
role in designing, developing, and implementing AI models and algorithms to solve complex business challenges Responsibilities: Create, build, and deploy AI models and algorithms to meet business requirements. Employ techniques. Prepare and sustain documentation for AI models, processes, and tools. Offer technical expertise
delivering metrics, reporting platforms and analytical models vital for tracking and managing the business Working Firm understanding of data warehousing, data modelling and ETL processes Sound understanding of project
integrity by managing databases, data sources, and data models. Collaboration: Work closely with cross-functional (e.g., Tableau, Power BI), SQL, Excel, and data modeling. Analytical Skills: Strong problem-solving skills