End-to-End Data & ML Engineer (LATAM) — AI-Driven Pipelines

Medium; Santiago; Presencial; CLP 64.754.856 - 83.256.244; Jornada completa

Descripción de la vacante

Medium is seeking a skilled Data/ML Engineer with a focus on MLOps to join their BI team in Santiago, Chile. This full-time position requires designing, building, and maintaining data pipelines that power various applications and insights.

The ideal candidate will have over 8 years of experience and excellent Python skills. A strong understanding of vector databases and cloud platforms like AWS or Azure is essential. Only applicants from LATAM will be considered.

Formación

• 8+ years of experience as a Data Engineer with 2+ years focused on MLOps.
• Excellent English communication skills.
• Effective oral and written communication skills.
• Deep understanding of vector databases and RAG architectures.

Responsabilidades

• Design, develop, and maintain scalable data pipelines.
• Build workflows for unstructured data retrieval.
• Implement analytics solutions for natural language queries.
• Manage prompt engineering techniques for conversational interfaces.

Conocimientos

Data engineering with Python

MLOps

SQL and PL/SQL

Apache Spark

Hadoop

Kafka

Cloud platforms (AWS, Azure)

Version control systems

Herramientas

Snowflake

Redshift

DataStax AstraDB

LangChain

LlamaIndex

Descripción del empleo

Medium is seeking a skilled Data/ML Engineer with a focus on MLOps to join their BI team in Santiago, Chile. This full-time position requires designing, building, and maintaining data pipelines that power various applications and insights.

The ideal candidate will have over 8 years of experience and excellent Python skills. A strong understanding of vector databases and cloud platforms like AWS or Azure is essential. Only applicants from LATAM will be considered.