Apply for MSCI Off Campus Drive 2025! Hiring AI Engineer Job in Mumbai for 2+ Years skilled in Python, NLP, GenAI, ML, and cloud deployment. Innovate on financial, ESG, and analytics platforms powering world-class decision-making.
Candidates who are interested in MSCI Off Campus Drive Job Openings can go through the below to get more information.
Key Job details of AI Engineer job
Company: MSCI
Qualifications: BE/BTech/ME/MTech
Experience Needed: 2+ Years
Job Req ID: 2025-3284
Location: Mumbai
Start Date: 10th November 2025
Click here to Join on WhatsApp:- https://wa.link/28qo7j
Click here to Join on Telegram:- https://telegram.me/qaidea
Your Team Responsibilities
MSCI Data Tech-Data Science team is a central team that builds and manages several Data centric applications/capabilities to support all business verticals of the firm including ESG, Index, Analytics & Real Estate. It also provides data management in support of financial decision making in many of the best and largest financial service providers in the world. We have a relentless dedication to innovation and a drive to push the envelope to deliver cutting edge content and applications. As a member of Data tech, you would join a motivated team of professionals actively engaged in challenging one another to produce products of the highest quality in a business whose explicit goal is to be “best in class”. This team stays up to date on the fast-moving technologies and solutions available on LLM, GenAI, NLP, ML also plan and Impalement most advance Data Science solutions across MSCI’s applications.
Your Key Responsibilities
- Develop data science applications and be a part of our AI adoption journey.
- Support teams across data and technology at MSCI to implement AI solutions and integrate their services with MSCI’s data science products and platforms.
- Implement ML, NLP, LLM, LangChain, LangGraph, and Agentic AI within data science tools to deliver new functionality for the internal production platform and the client delivery platform.
- Engage with content expert teams across technology and understand MSCI APIs and data delivery platforms.
- Closely collaborate with Product Management, Quality Assurance, Data Operations, and IT Infrastructure on all stages of the development lifecycle.
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.
- Experience in finding patterns in data and creating statistical models, data exploration, data visualization, and data mining.
- Experience in developing AI and ML solutions and delivering them to production.
- Very good hands-on working experience in Python and NLP.
- Prior experience or projects in LLMs, LangChain, LangGraph, and Agentic AI is a plus.
- Familiarity with text processing.
- Understanding of good software development practices: Test-Driven Development (TDD), refactoring, pair-programming, solid design.
- Self-motivated, proactive, and demonstrating an exceptional drive towards delivery.
- Experience with cloud-based solutions, especially on Azure or Google Cloud Platform (GCP).
- Knowledge of DevOps practices and tools for continuous integration and deployment.
Apply Now for MSCI AI Engineer Job
How to Apply MSCI Off Campus Drive 2025
Click on Apply to Official Link MSCI Above – You will go to the Company Official site
First of all Check, Experience Needed, Description and Skills Required Carefully.
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Interview Questions
- How do you implement and deploy NLP/LLM solutions using Python in production?
- Describe a time you built ML pipelines or data mining applications for business analytics.
- What best practices do you follow for test-driven data science development?
- How do you integrate GenAI and cloud solutions into scalable platforms?
- Describe your experience with LangChain, LangGraph, or Agentic AI frameworks.
- How do you collaborate across tech, product, and QA to deliver financial analytics?
- What tools do you use for continuous integration, code versioning, and deployment?
- How do you extract patterns in large, multi-domain datasets?
- Describe your troubleshooting or debugging process for data science apps.
- Why is robust, explainable AI critical for financial platforms?
