Responsibilities

- Partner with AI/ML product teams to proactively identify data needs for rapid experimentation and stable production deployment.
- Ensure data availability by collaborating with Product teams.
- Support 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 formats.
- Conduct data profiling, validation, and anomaly detection.
- 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.

Requirements

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

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📌 Machine Learning Analyst (Santiago de Querétaro)
🏢 Jobtailor
📍 Santiago de Querétaro