AIML Sr. Engineer

Job Purpose and Impact

The Senior AI Engineer will lead the design and build AI-enabled solutions that enhance Data Management and Data Governance capabilities across this role you will apply machine learning generative AI and automation to improve data quality metadata management master data data classification lineage and governance workflowshelping ensure data is trusted compliant and business-ready. You will collaborate closely with Data Engineering Data Domain & Governance Architecture Security and Business/Function teams to embed intelligence into core data platforms and processes.

Key Accountabilities

• DATA PREPARATION MANAGEMENT: Conducts extraction and integration of complex data from different data sources analyses the ways in which datasets may be biased and applies mitigation strategies.
• DATA ANALYSIS: Reviews complex data sets for exploratory data analysis to identify trends and patterns that inform business strategies across various areas.
• MODEL DEVELOPMENT: Develops and deploys artificial intelligence models including monitoring and evaluating ongoing performance to solve complex business problems and derive actionable insights.
• AI ENGINEERING: Establishes software and artificial intelligence engineering patterns and principles to design develop test integrate maintain and troubleshoot complex and varied generative artificial intelligence software solutions and incorporates security practices in newly developed and maintained applications. .
• DOCUMENT & REPORTING: Documents development and code in ways that allow for support and knowledge sharing.
• COMMUNICATION: Presents techniques and results to technical and non-technical audiences.
• CONTINUOUS LEARNING: Examines existing and emerging artificial intelligence and optimization principles theories and techniques to develop and deploy artificial intelligence models into production improving the organizations analytical capabilities.
• STAKEHOLDER MANAGEMENT: Works closely with businesses to understand needs and collaborates with cross functional teams to develop artificial intelligence models for digital applications.

Qualifications

• Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.