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MSCI

Offers data, indexes, analytics for investments

AI Engineer

Applied Machine Learning +1Confirmed live in the last 24 hours
Full-timePune, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least a Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, or a related field.
  • At least 5 years of experience finding patterns in data, creating statistical models, data exploration, data visualization, and data mining.
  • Experience developing AI and machine learning solutions and delivering them to production.
  • Strong hands-on experience with Python and natural language processing.
  • Expertise in anomaly detection methodologies, including statistical techniques, machine-learning-based approaches, and AI-driven detection systems for identifying irregularities, data drift, and quality issues.
  • Understanding of software development practices, including test-driven development, refactoring, pair programming, and solid design principles.
  • Experience with cloud-based solutions, especially Azure or Google Cloud Platform.
  • Knowledge of DevOps practices and tools for continuous integration and deployment.

Responsibilities

  • Develop data science applications and contribute to the company's ongoing AI adoption journey.
  • Implement machine learning, natural language processing, generative AI, agentic AI, and advanced anomaly detection methodologies, including statistical, machine-learning-based, and AI-driven approaches, within data science tools to deliver new functionality for the internal production platform and client delivery platform.
  • Support data and technology teams in implementing AI solutions and integrating their services with the company's data science products and platforms.
  • Engage with content expert teams across technology and build a deep understanding of the company's APIs and data delivery platforms.
  • Collaborate with Product Management, Quality Assurance, Data Operations, and IT Infrastructure throughout all stages of the development lifecycle to ensure reliable, high-quality, and scalable solutions.

Desired Qualifications

  • Prior experience or projects involving large language models and agentic AI are a strong plus.

About the Company

MSCI

Offers data, indexes, analytics for investments

MSCI provides data, indexes, analytics, and technology solutions for institutional investors, asset managers, and wealth managers across public and private markets. Its index products measure global markets, private asset data offers benchmarks and analytics for illiquid investments, and ESG data, models, and ratings help assess sustainability risk. Risk management and portfolio tools integrate analytics to support asset allocation and personalized portfolios, while research and partnerships broaden access to private market intelligence. The goal is to help clients make informed decisions, manage risk, and grow assets by delivering reliable data and practical tools in a single ecosystem.

Company size
5,001-10,000
Company stage
IPO
Headquarters
New York City, New York
Founded
1969

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