Source description
About the role
Work across a range of analytical solutions involving implementation, testing, validation, documentation, monitoring, investigations, and reporting.
Extract, analyze, and validate large datasets from various data sources using tools such as Python, PySpark, SQL, and Hadoop to support analytics implementations and operational activities. Perform model scoring, result validation, impact analysis, score investigations, and periodic model monitoring to ensure accuracy and operational stability.
Develop and support automation solutions, AI-driven tools, and operational efficiency initiatives to streamline analytical processes and reduce manual effort.
Utilize custom-built frameworks and platforms for analytics implementations, validations, monitoring, reporting, and delivery activities.
Support MLOps/LLMOps processes for deployment, monitoring, observability, validation, and governance of AI/ML solutions.
Create and maintain technical documentation, implementation artifacts, operational procedures, and knowledge repositories.
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