AI Engineer - Senior Associate will design and implement enterprise-scale AI architectures, architect end-to-end AI/ML pipelines, and apply cutting-edge AI techniques to solve diverse AI use cases. The role requires 6+ years of experience in designing, building, and deploying AI/ML systems at enterprise scale.
Requirements
- 6+ years of experience designing, building, and deploying AI/ML systems at enterprise scale.
- Expert-level proficiency in modern AI/ML frameworks (TensorFlow, PyTorch) and distributed computing platforms (Spark, Ray, Flink, Beam).
- Proven experience architecting and delivering large-scale, production-grade AI platforms handling complex and high-volume data.
- Advanced knowledge of NLP, computer vision, and time-series analysis, with hands-on application in real-world use cases.
- Experience working with financial data, risk modeling, or quantitative analytics (highly desirable).
- Solid understanding of MLOps practices, including model versioning, monitoring, A/B testing, CI/CD automation, and retraining pipelines.
- Excellent technical communication skills, with the ability to articulate complex AI concepts to varied stakeholders.
Benefits
- 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.
- 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.