AI Engineer

MSCI Inc.; Mumbai; On-site; INR 1,000,000 - 2,000,000; Full time

Benefits offered by this job

Flexible working arrangements

Comprehensive employee benefits

Access to learning platforms

Job summary

MSCI Inc. in Mumbai is seeking AI Engineers at Associate and Senior Associate levels to support their AI adoption journey. The role focuses on machine learning, NLP, and generating AI solutions to enhance business processes.

Ideal candidates should have 4-7 years of experience in AI engineering and a degree in a related field. MSCI offers flexible working arrangements, comprehensive benefits, and a culture of innovation.

Qualifications

• 4-7 years in data science, AI engineering, or applied machine learning.
• Strong hands-on experience in machine learning and NLP.
• Experience delivering AI/ML solutions into production.
• Understanding of text processing and unstructured data.
• Knowledge of software engineering best practices.

Responsibilities

• Design, develop, and maintain AI-driven applications.
• Implement machine learning and NLP solutions.
• Support integration of AI services across platforms.
• Ensure AI solutions meet standards for scalability and reliability.
• Collaborate with teams to enhance AI capabilities.

Skills

Machine learning

NLP

GenAI

LLMs

Statistical modeling

Education

Bachelor's or Master's degree in Computer Science, Mathematics, or related field

Tools

Azure

Google Cloud Platform (GCP)

DevOps tools

Job description

MSC! Data Tech - Data Science is a central team responsible for building and managing data‑centric and AI‑driven applications and capabilities that support all major business verticals across the firm, including ESG, Index, Analytics, and Real Estate. The team enables high‑quality financial decision‑making by delivering scalable, reliable, and compliant AI solutions used by some of the world's largest financial services organizations. We are seeking AI Engineers at Associate and Senior Associate levels to support MSCI's AI adoption journey, with a focus on machine learning, NLP, GenAI, LLMs, and agentic AI systems. These roles are hands‑on and engineering‑focused, centered on building, integrating, and operationalizing AI capabilities across internal platforms and client‑facing products.

AI & Data Science Application Development

• Design, develop, and maintain data science and AI‑driven applications that support multiple MSCI business lines.
• Implement machine learning, NLP, and GenAI solutions that move from experimentation to production.
• Build and integrate LLM‑powered capabilities such as retrieval‑augmented generation (RAG), summarization, classification, extraction, and reasoning into enterprise platforms.

GenAI, LLMs & Agentic AI

• Develop and enhance solutions using LLMs, LangChain, LangGraph, and agentic AI frameworks.
• Apply best practices in prompt engineering, orchestration, evaluation, and monitoring to ensure consistent, reliable AI outputs.
• Work with structured and unstructured data, including text processing, embeddings, and vector‑based retrieval.

Platform Integration & Cross‑Functional Collaboration

• Support teams across Data, Technology, and Engineering to integrate AI services with MSCI's data science platforms and AP!s.
• Engage with content expert teams to understand MSCI datasets, data delivery platforms, and business workflows.
• Collaborate closely with Product Management, Quality Assurance, Data Operations, and IT Infrastructure across all stages of the development lifecycle.

Production Readiness & Engineering Excellence

• Ensure AI solutions meet enterprise standards for scalability, performance, reliability, and maintainability.
• Follow strong software engineering best practices, including test‑driven development, code reviews, refactoring, and clean system design.
• Contribute to CI/CD pipelines and DevOps processes to enable continuous integration, deployment, and monitoring of AI systems.

AI Governance, Risk & Compliance

• Ensure AI and GenAI solutions comply with MSCI's data governance, security, and responsible AI standards.
• Implement controls to support model transparency, traceability, auditability, and reproducibility, especially for LLM‑based systems.
• Apply guardrails to mitigate hallucinations, bias, data leakage, and misuse in AI outputs.
• Ensure appropriate handling of confidential, sensitive, and regulated data in accordance with firm policies.
• Partner with Risk, Legal, Compliance, and Information Security teams to support reviews, audits, and regulatory requirements related to AI systems.

Required Qualifications

• 4-7 years of relevant experience in data science, AI engineering, or applied machine learning
• Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, or a related quantitative
• Strong hands‑on experience in
• Solid foundation in machine learning, NLP, and statistical modeling, including data exploration and
• Hands‑on experience or projects involving LLMs, LangChain, LangGraph, RAG, or agentic AI
• Experience delivering Al/ML solutions into production
• Understanding of text processing and unstructured
• Knowledge of software engineering best practices (TDD, refactoring, modular design, version control).
• Strong analytical, problem‑solving, and communication
• Self‑motivated, proactive, and delivery‑oriented

Preferred / Nice to Have Skills

• Experience with cloud platforms, particularly Azure or Google Cloud Platform (GCP).
• Familiarity with DevOps tools and Cl/CD
• Understanding of data governance, responsible AI, or model risk management
• Prior experience in financial services or other regulated

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.

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 [e-mail] 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.

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.