AI Engineer

MSCI


Job Location:

Mumbai - India

Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

Your Team Responsibilities

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 worlds largest financial services organizations.

We are seeking AI Engineers at Associate and Senior Associate levels to support MSCIs 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.

Your Key Responsibilities

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 MSCIs 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 MSCIs 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.

Your skills and experience that will help you excel

Required

  • 4-7years of relevant experience in data science AI engineering or applied machine learning
  • Bachelors or Masters 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

  • 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

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 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 Womens Leadership Forum.

At MSCI we are passionate about what we do and we are inspired by our vision to power better decisions. Youll 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 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

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Required Experience:

IC

Your Team ResponsibilitiesMSC! 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-qual...

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