AI Engineer

Posted 3 Days Ago
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Pune, Mahārāshtra, IND
In-Office
Senior level
Fintech • Financial Services
The Role
Develop and deploy AI, machine learning, NLP, generative AI, agentic AI, and anomaly detection solutions that improve data quality across internal and client-facing platforms. Build data science applications, integrate AI services, collaborate with product, QA, data operations, and infrastructure teams, and ensure scalable, reliable production systems. The role also involves cloud solutions, DevOps practices, and advancing MSCI’s AI adoption.
Summary Generated by Built In
Your Team Responsibilities

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 member of this team, you will work alongside highly motivated professionals who challenge one another to produce best-in-class products and technology. We stay at the forefront of advancements in LLMs, GenAI, NLP, ML, and modern data science — and lead the planning and deployment of advanced AI and data quality solutions across MSCI’s application landscape.

Your Key Responsibilities
  • Develop data science applications and contribute to MSCI’s ongoing AI adoption journey.

  • 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.

  • Support teams across data and technology in implementing AI solutions and integrating their services with MSCI’s data science products and platforms.

  • Engage with content expert teams across technology and build a deep understanding of MSCI APIs and data delivery platforms.

  • Collaborate closely with Product Management, Quality Assurance, Data Operations, and IT Infrastructure throughout all stages of the development lifecycle, ensuring reliable, high-quality, and scalable solutions.

Your skills and experience that will help you excel
  • At least a Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, or a related field.
  • 5 years of experience in finding patterns in data, creating statistical models, data exploration, data visualization, and data mining.
  • Experience in developing AI and ML solutions and delivering them to production.
  • Strong hands-on experience in Python & NLP
  • Expertise in anomaly detection methodologies, including statistical techniques, ML-based approaches, and AI-driven detection systems for identifying irregularities, data drift, and quality issues.
  • Prior experience or projects involving LLMs and Agentic AI is a strong plus.
  • Understanding of good software development practices: Test-Driven Development (TDD), refactoring, pair-programming, and solid design principles.
  • Self-motivated, proactive, and demonstrating a strong drive toward delivery.
  • Experience with cloud-based solutions, especially Azure or Google Cloud Platform (GCP).
  • Knowledge of DevOps practices and tools for continuous integration and deployment.
About MSCI

What we offer you

  • Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing.
  • Flexible working arrangements, advanced technology, and collaborative workspaces.
  • A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results.
  • A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients.
  • Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, AI Learning Center , LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development.
  • Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles.
  • We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum.

At MSCI we are passionate about what we do, and we are inspired by our vision – to power better decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry.

MSCI strengthens global markets by connecting participants across the financial ecosystem with a common language. Our research-based data, analytics and indexes, supported by advanced technology, set standards for global investors and help our clients understand risks and opportunities so they can make better decisions and unlock innovation. We serve asset managers and owners, private-market sponsors and investors, hedge funds, wealth managers, banks, insurers and corporates.


MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email [email protected] and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries.


To all recruitment agencies

MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes.


Note on recruitment scams

We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

Skills Required

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, or a related field
  • At least 5 years of experience in data pattern analysis, statistical modeling, data exploration, visualization, and data mining
  • Experience developing AI and machine learning solutions and delivering them to production
  • Strong hands-on experience with Python and NLP
  • Expertise in statistical, machine learning-based, and AI-driven anomaly detection methodologies
  • Prior experience or projects involving LLMs and Agentic AI
  • Knowledge 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

MSCI Inc. Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about MSCI Inc. and has not been reviewed or approved by MSCI Inc..

  • Fair & Transparent Compensation — Compensation is characterized as competitive in several functions, with strong total compensation cited for higher-paid roles and market-aligned packages described as a baseline.
  • Healthcare Strength — Health coverage is positioned as comprehensive, including medical, dental, vision, mental-health support via an Employee Assistance Program, and care-navigation resources.
  • Retirement Support — Retirement support includes a 401(k) with company contributions and automatic enrollment, plus related financial protections such as life and disability insurance and an HSA option with employer contribution when selected.

MSCI Inc. Insights

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The Company
HQ: New York, NY
5,040 Employees

What We Do

MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process.

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