Data & Machine Learning Engineer (Asunción)

Data & Machine Learning Engineer (Asunción)

15 ago
|
Medium
|
Asunción

15 ago

Medium

Asunción

This is a full-time opportunity for a data/ML Engineer from LATAM. IDT is an American telecommunications company founded in 1990 and headquartered in New Jersey. It is an industry leader in prepaid communication and payment services and one of the world's largest international voice carriers. We are looking for a skilled Data/ML Engineer to join our BI team and take an active role in designing, building, and maintaining the end‐to‐end data pipeline, architecture, and design that powers our warehouse, LLM‐driven applications, and AI‐based BI.
Design, develop, and maintain scalable data pipelines to support ingestion, transformation, and delivery into centralized feature stores, model‐training workflows, and real‐time inference services.
Build and optimize workflows for extracting, storing, and retrieving semantic representations of unstructured data to enable advanced search and retrieval patterns.
Architect and implement lightweight analytics and dashboarding solutions that deliver natural language query experience and AI‐backed insights.




Oversee vector data stores and develop efficient indexing methodologies to support retrieval‐augmented generation (RAG) workflows.
Partner with data stakeholders to gather requirements for language‐model initiatives and translate them into scalable solutions.
Create and maintain comprehensive documentation for all data processes, workflows, and model deployment routines.
Stay informed and learn emerging methodologies in data engineering, MLOps, and LLM operations.
8+ years of experience as a Data Engineer with 2+ years focused on MLOps.
~ Excellent English communication skills.
~ Effective oral and written communication skills with the BI team and user community.
~ Demonstrated experience in utilizing Python for data engineering tasks, including transformation, advanced data manipulation, and large‐scale data processing.
~ Deep understanding of vector databases and RAG architectures, and how they drive semantic retrieval workflows.

📌 Data & Machine Learning Engineer (Asunción)
🏢 Medium
📍 Asunción

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