Associate AI Engineering

Job Summary

MSCI Data AI Engineering is a central team responsible for building and managing a broad suite of data-centric applications and capabilities that support all MSCI business verticals. A core part of our mission is ensuring data quality, consistency, and reliability across MSCI s products. The team designs and implements robust AI-driven data quality enhancements to guarantee that downstream analytics, models, and client-facing solutions are built on trusted data.

As a senior member of this team, you will work alongside highly motivated professionals, providing technical while helping to challenge and elevate the group to produce best-in-class products and technology

Key Responsibilities

• Lead the design and development of AI data science applications, driving MSCI s ongoing AI adoption journey and setting technical direction for the data quality team.
• Implement ML/NLP/GenAI/Agentic AI, and advanced anomaly detection methodologies (including statistical, ML-based, and AI-driven approaches) within data science tools to deliver new functionality for both the internal production platform and the client delivery platform.
• Partner closely with Product Management, Quality Assurance, Data Operations, and IT Infrastructure throughout all stages of the development lifecycle, influencing roadmap priorities and ensuring reliable, high-quality, and scalable solutions.
• Evaluate and introduce new tools, frameworks, and methodologies to strengthen the team s AI/ML and data quality capabilities.

Skills Experience

• AI/ML engineering
• Data mining
• Data exploration
• Data visualization
• Statistical modeling
• Python NLP
• Anomaly detection
• LLM-based AI
• Agentic AI

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