AI Developer

Your Team Responsibilities

Model Services, a global team of software engineers is searching for a highly motivated, hardworking, and eager to succeed individual. This position is for a Senior Associate to be based at the MSCI office in Monterrey, NL. Mexico.

Model Services team is responsible for the development and support of the Model Engine Analytics, a python based platform that enables

fast research-to-market and high-quality Factor Analytics content delivery. Model Engine platform is responsible for producing MSCI's Factor Models among many other valuable factor analytics products.

The Software Engineer would work along with the Model Services and Production Services teams to design, implement, support and document innovative solutions that contribute to the Factor Analytics content platform. The Engineer needs to be strong in quantitative skills, as well as strong Python development skills, be self-organized and feel comfortable adjusting seamlessly to multiple demands and shifting priorities in an agile, fast-paced, demanding global environment.

Your Key Responsibilities

AI-Enabled Data Pipelines

• Design and implement intelligent, AI-enabled data pipelines that support analytics and machine learning workloads

• Build pipelines that produce feature-ready, AI-ready datasets with strong data quality, lineage, and versioning

• Apply AI/ML techniques for:

  • Data quality and anomaly detection

  • Schema drift detection

  • Automated remediation and self-healing workflows

Snowflake & Data Platforms

• Develop and optimize pipelines on Snowflake, leveraging native capabilities such as tasks, streams, clustering, micro-partitioning, and cost optimization

• Extend pipeline frameworks to support other databases (e.g., PostgreSQL, Oracle, ClickHouse, BigQuery, Redshift)

• Ensure performance, scalability, and reliability across heterogeneous data platforms

Your skills and experience that will help you excel

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

• Strong experience in data engineering and pipeline development

• Hands-on expertise with Snowflake and Cloud Platform

• Proficiency in Python and SQL

• Experience working with multiple database technologies

• Understanding of AI/ML data requirements and workflows