AI Engineer

MSCI Inc; Pune District; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

MSCI in Pune, India is seeking a Data AI Engineer to help build data-centric applications and AI-driven data quality solutions across MSCI’s product landscape.

You will work with ML/NLP/GenAI, anomaly detection, and data science tooling; collaborate with Product, QA, Data Ops, and IT to deliver reliable, scalable solutions.

Qualifications

• 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.
• Prior experience or projects involving LLMs and Agentic AI is a strong plus.
• Understanding of good software development practices: TDD, refactoring, pair-programming, and solid design principles.
• Self-motivated, proactive, and delivering with 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.

Responsibilities

• Develop data science applications and contribute to MSCI’s ongoing AI adoption journey.
• Implement ML/NLP/GenAI/Agentic AI and anomaly detection within data science tools for internal and client platforms.
• Support teams across data and technology in implementing AI solutions and integrating services.
• Engage with content expert teams across technology to understand MSCI APIs and data delivery platforms.
• Collaborate with Product Management, QA, Data Operations, and IT Infrastructure throughout the lifecycle to ensure reliable, scalable solutions.

Skills

Python

NLP

Anomaly detection

Data mining

Data visualization

Statistical modeling

Team collaboration

Education

Bachelor's or Master's degree in Computer Science/Math/Engineering

Tools

Azure

Google Cloud Platform

CI/CD / DevOps tooling

Job description

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.

• 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.

• 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.