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Associate AI Engineering
MSCI
Pune
6+ years
1 day ago
$48.2K–62.7K/yr
Full-time
Hybrid
Skills Required LLM
Gen AI
Agentic AI
Anomaly Detection
Machine Learning
NLP
Python
Azure
GCP
DevOps
Continuous Integration
Continuous Deployment
Description Associate AI Engineering role on MSCI Data AI Engineering, a central team building data-centric applications and AI-driven data quality capabilities across MSCI business verticals. The role focuses on trusted data, scalable AI solutions, and collaboration across product and technology teams.
Company: MSCI
Role: Associate AI Engineering
Location: Pune | Hybrid
Experience
- 6+ years of relevant experience in AI/ML engineering
- Proven track record of finding patterns in data
- Experience building statistical models
- Experience driving data exploration at scale
- Experience with data visualization at scale
- Experience with data mining at scale
- Experience designing, developing, and deploying AI and ML solutions to production
- Experience owning architecture and scalability decisions
- Solid hands-on experience in Python
- Strong hands-on experience in NLP
- Deep expertise in anomaly detection methodologies
- Experience in statistical techniques for anomaly detection
- Experience in ML-based approaches for anomaly detection
- Experience in AI-driven detection systems for anomaly detection
- Experience with cloud-based solutions, especially Azure or Google Cloud Platform
- Experience deploying and scaling ML workloads in production
- Knowledge of DevOps practices and tools for continuous integration and deployment
- Experience mentoring engineers
- Experience leading technical initiatives
- Self-motivated and proactive
- Strong sense of ownership
- Drive toward delivery
Qualification
- Bachelor’s degree in Computer Science, Mathematics, Engineering, or a related field
- Master’s degree in Computer Science, Mathematics, Engineering, or a related field
Responsibilities
- Lead the design and development of AI and data science applications
- Drive MSCI’s ongoing AI adoption journey
- Set technical direction for the data quality team
- Implement ML, NLP, GenAI, and Agentic AI capabilities
- Implement advanced anomaly detection methodologies
- Deliver new functionality for the internal production platform
- Deliver new functionality for the client delivery platform
- Partner with Product Management, Quality Assurance, Data Operations, and IT Infrastructure
- Influence roadmap priorities
- Ensure reliable, high-quality, and scalable solutions
- Evaluate and introduce new tools, frameworks, and methodologies
- Strengthen the team’s AI/ML and data quality capabilities
Additional Responsibilities
- Support robust AI-driven data quality enhancements
- Ensure downstream analytics, models, and client-facing solutions are built on trusted data
- Work alongside highly motivated professionals
- Help challenge and elevate the group to produce best-in-class products and technology
Nice To Have
- Hands-on experience building or deploying LLM-based solutions in production
- Hands-on experience building or deploying Agentic AI solutions in production
More Skills AI, data science, data quality, statistical techniques, cloud-based solutions, data exploration, data visualization, data mining, production deployment, architecture, scalability
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