About
MSCI is a global provider of investment decision support tools, analytics, and risk management solutions widely used by asset managers, hedge funds, institutional investors, and financial institutions. With a strong focus on data science, machine learning, and technology innovation, MSCI builds platforms that help organizations understand and manage risk, evaluate investment strategies, and optimize portfolio performance. The company’s technology teams work on cutting-edge analytics, scalable systems, and intelligent solutions that power insights across global markets.
The AI Developer position at MSCI Pune offers a valuable opportunity for professionals to work at the intersection of data, machine learning, and software engineering — building intelligent systems that contribute to real business outcomes.
Role Overview – AI Developer
- Position: AI Developer
- Company: MSCI
- Location: Pune, Maharashtra, India
- Experience Level: Freshers / Early Career / Experienced Candidates
- Qualification: Bachelor’s / Master’s Degree in Computer Science, Engineering, Data Science, AI, or related fields
- Employment Type: Full-time
- Domain: Artificial Intelligence / Machine Learning / Data Engineering / Analytics
This role is ideal for candidates who enjoy solving real-world problems using AI, building predictive systems, and working with large datasets and intelligent models.
Purpose of the AI Developer Role
The primary purpose of the AI Developer role at MSCI is to design, develop, and implement machine learning models, AI pipelines, and data-driven solutions that support analytics and decision-making platforms. AI Developers help translate business problems into model requirements, build scalable solutions, monitor performance, and integrate models into production systems. This position bridges AI research, software engineering, and real business use cases in financial analytics.
Key Responsibilities
As an AI Developer, your responsibilities typically include:
- Developing machine learning and AI models for classification, regression, clustering, and prediction tasks
- Preparing and cleaning large datasets for modeling
- Performing feature engineering and model selection
- Building reproducible and well-documented model pipelines
- Training and evaluating model performance using appropriate metrics
- Integrating models into applications, APIs, or analytics platforms
- Collaborating with data engineers, software developers, and business analysts
- Monitoring and maintaining models in production environments
- Documenting technical designs, model assumptions, and evaluation results
- Participating in code reviews and knowledge-sharing sessions
These responsibilities help ensure that MSCI’s AI solutions are robust, performant, and aligned with data-driven goals.
Technical Skills Required
To succeed in this role, candidates should possess strong capabilities in:
- Programming languages: Python or similar languages commonly used in AI/ML
- Familiarity with machine learning frameworks such as scikit-learn, TensorFlow, PyTorch, XGBoost, etc.
- Strong understanding of data structures, algorithms, and statistics
- Experience with data processing tools (e.g., Pandas, NumPy)
- Ability to work with large datasets and perform data wrangling
- Knowledge of common AI/ML techniques and evaluation metrics
- Familiarity with SQL and database querying
- Understanding of model deployment and integration (Docker, REST APIs, etc.)
- Experience with version control tools like Git
- Exposure to cloud platforms (AWS, GCP, Azure) is advantageous
Strong foundational skills in modeling, experimentation, and algorithmic thinking are critical.
Professional & Soft Skills
Equally important are professional competencies such as:
- Analytical problem-solving and logical thinking
- Ability to communicate complex technical concepts clearly
- Collaboration and teamwork with cross-functional groups
- Time management, task prioritization, and self-organization
- Curiosity to explore new techniques and continuous learning
- Attention to detail and commitment to code quality
These soft skills help you navigate complex projects and contribute effectively within engineering teams.
Role Views – Daily Work Experience
A typical day for an AI Developer at MSCI may include:
- Reviewing project requirements and data sources
- Performing exploratory data analysis and preparing datasets
- Writing and testing AI models and transformation code
- Evaluating model performance and tuning hyperparameters
- Collaborating with engineers to integrate models into software systems
- Participating in team meetings and agile ceremonies
- Updating documentation and presenting model insights
- Monitoring deployed models and optimizing performance
This work provides hands-on experience with real AI development life cycles and scalable solutions.
Who Should Apply
This role is suitable for:
- Fresh graduates with strong academics and project experience in AI/ML
- Early-career professionals looking to specialize in intelligence systems
- Developers who enjoy working with data, models, and analytics
- Individuals passionate about AI research and production-ready solutions
- Candidates who adapt quickly to evolving frameworks and technologies
A portfolio of projects, GitHub repositories, or contributions to AI competitions can strengthen your application.
Work Environment & Culture
MSCI fosters a collaborative, innovation-oriented work culture where engineers and data scientists work together to solve challenging problems. The company supports continuous learning, access to modern tools, and exposure to real-world applications of AI. Teams operate with agile methodologies, feedback loops, and focus on quality and performance.
Learning & Skill Development Opportunities
AI Developers at MSCI typically benefit from:
- Exposure to production-grade AI systems
- Collaboration with experienced data scientists and engineers
- Opportunities to work on large datasets and real use cases
- Structured onboarding to internal tools and standards
- Guidance on model lifecycle and deployment practices
- Support for certifications and ongoing learning
This environment accelerates professional growth and technical depth.
Career Growth & Progression
Professionals in this role may advance into positions such as:
- Senior AI/ML Engineer
- Data Scientist / Lead Data Scientist
- AI Architect or Solutions Specialist
- Machine Learning Platform Engineer
- AI Research or Technical Lead
Growth depends on technical contributions, problem-solving impact, and leadership potential.
Why This Role Matters
- Enables data-driven intelligence for financial analytics
- Supports innovative solutions in decision support tools
- Bridges business needs with scalable AI systems
- Delivers actionable insights from complex datasets
- Provides experience with modern machine learning pipelines
AI Developers are essential in transforming how organizations use data and models to guide decisions.
Apply Link
Include project experience, model development examples, AI frameworks knowledge, and problem-solving experience in your resume to stand out.
Final Career Insight
The MSCI AI Developer position in Pune, India offers a compelling opportunity for early-career professionals and fresh graduates to work with cutting-edge AI solutions, large-scale datasets, and enterprise analytics systems. With exposure to real AI problems, collaborative culture, and strong growth potential, this role provides a strong foundation for a long-term career in data science, machine learning, and intelligent systems engineering.
