AI/ML Data Analyst (Santiago de Querétaro)

The AI ML Analyst II implements and supports the minimum viable product data requirements within the data lake team. Data Analysts and Data Scientists define these requirements and the Data Architect validates them. The role focuses on the technical configuration aspects of the data lake, including the design and implementation of data ingestion and integration frameworks.

Key Responsibilities

• Partner with AI/ML product teams to proactively identify data needs for rapid experimentation, stable production deployment and ensure required data availability by collaborating with Product teams
• Support the Data Analysts, Data Scientists, MLOps engineers in developing optimized data models, pipelines and frameworks
• Build pipelines to ingest, clean, and transform structured, semi-structured and unstructured data (text, images, pdf, etc) formats
• Conduct data profiling, validation, and anomaly detection to identify quality issues early in the lifecycle
• Build vector databases for semantic search and retrieval of unstructured content
• Collaborate with data scientists and ML engineers to design end‑to‑end generative AI solutions
• Build clean, error‑free MVP‑ready data models

Qualifications

• 5 years of experience that includes ETL/ELT workflow experience in design, configuration, data mapping, extraction, transformation and loading and writing code and maintaining it
• Have data warehousing high‑level principles and understanding of business intelligence
• Experience working with Databricks and Apache Spark/PySpark
• Proficiency with complex SQL development

  Benefits

  Benefits like pension plan, medical and life insurance, and salary will be reviewed in the interview meeting. This is a hybrid role.

  PPG provides equal opportunity to all candidates and employees.