Position:
AI Engineer
Company:
MSCI Inc.
Location:
Mumbai, India
Job type:
Full-time
Job mode:
Onsite
Job requisition id:
2025-3272
Years of experience:
0-3 years
Company Description
MSCI is a global leader in investment decision support tools and services.
With over five decades of experience in research, data, and technology, MSCI equips clients to analyze market risks and returns.
Their mission is to empower better investment decisions using high-quality analytics, indices, ESG, and real asset solutions.
The company offers a highly collaborative environment, modern office spaces, and employee-driven communities such as Women in Tech, Climate Action Network, and Pride & Allies.
In India, MSCI's Mumbai office is the largest in the company, with multiple teams working across technology, data, finance, and research.
Benefits include healthcare packages, day care assistance, pension schemes, maternity support, and wellness programs.
Employees are offered flexible working policies and vast upskilling resources like LinkedIn Learning and Learning@MSCI.
MSCI fosters innovation, inclusion, career mobility, and continuous learning.
Profile Overview
The role is focused on building scalable AI-driven systems addressing complex challenges in the financial domain.
The engineer will support development and management of platforms that process large index data.
Responsibilities span AI solution design, model building, and deployment using latest ML and Generative AI tools.
A critical function includes building quality control mechanisms for high-volume financial datasets.
Ideal for individuals enthusiastic about machine learning, data engineering, and optimizing AI solutions.
Offers an opportunity to work in a high-impact, globally recognized team within MSCI’s Index Technology division.
Emphasizes innovation in data science using state-of-the-art technologies including LLMs, Azure, and Google Cloud.
Encourages cross-functional collaboration and problem-solving across product, tech, and operations teams.
Qualifications
Proficiency in Python is required, particularly libraries like NumPy, pandas, scikit-learn, and matplotlib.
Strong foundational understanding of AI and ML concepts including neural networks, reinforcement learning, and deep learning.
Exposure to Generative AI and experience with language models such as BERT, GPT, or Gemini.
Familiarity with ML frameworks such as TensorFlow, PyTorch, or Keras is expected.
Working knowledge of Java and Oracle databases is an added advantage.
Experience using cloud platforms like Azure or Google Cloud is desirable.
Comfort with containerized deployment tools like Kubernetes and modern data warehousing technologies.
Bachelor’s degree in Computer Science, Engineering, Data Science, or related fields is preferred.
Additional Info
You will develop ML solutions tailored to business problems and ensure they scale efficiently with increasing data.
Expect to participate in continuous improvement processes, validating AI outputs and refining model accuracy.
Work on anomaly detection, metric definition, and automation of data quality checks for high-stakes index datasets.
Collaborate closely with stakeholders to align solutions with evolving business needs and product demands.
Be part of a culture that rewards innovation, ownership, and high performance.
MSCI offers structured onboarding, mentorship programs, and global exposure.
Career paths are fluid, with possibilities for horizontal and vertical mobility based on interests and capability.
Apply your knowledge in a meaningful way to contribute to global finance and sustainability conversations.
Please click here to apply.
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