AI Engineer
MSCI (company site, opens in a new tab)5+ yrsPuneOn-siteDirect career pageEst. 20–35 LPA
Posted 10h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and deploy AI, ML, NLP, GenAI, and agentic AI solutions to enhance data quality and anomaly detection across MSCI's data products and platforms.
- Collaborate with cross-functional teams including Product Management, QA, Data Operations, and IT Infrastructure to deliver scalable, reliable production-ready AI-driven data science applications.
- Support integration of AI solutions with MSCI's data delivery systems and APIs, contributing to the firm's AI adoption and data quality improvement efforts.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, or related field.
- Minimum 5 years of experience in data pattern recognition, statistical modeling, data exploration, visualization, and mining.
- Proven experience developing and deploying AI/ML solutions to production; strong expertise in Python and NLP technologies.
- Hands-on expertise in anomaly detection methodologies (statistical, ML, AI-driven) and experience with cloud platforms such as Azure or GCP.
Ideal Candidate Profile
- Experienced in advanced AI methodologies including large language models (LLMs), agentic AI, and modern data science tools with a focus on data quality.
- Comfortable working collaboratively in a multi-disciplinary environment involving Product, QA, Data Ops, and IT teams to deliver stable AI-powered data services.
- Familiar with software engineering best practices like Test-Driven Development, refactoring, pair programming, and DevOps for continuous integration and deployment.