Postúlate en Kit Empleo: kitempleo.com.co/empleo/1azny3

This is a full-time work from home opportunity for a star Data/ML Engineer from LATAM.

Responsibilities:
- 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.
- Define and execute processes for managing prompt engineering techniques, orchestration flows, and model fine-tuning routines to power conversational interfaces.
- 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 into scalable solutions.




- Create and maintain comprehensive documentation for all data processes, workflows and model deployment routines.
- Should be willing to stay informed and learn emerging methodologies in data engineering, MLOps and LLM operations.

Requirements:
- 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 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.
- Skilled at integrating open-source LLM frameworks into data engineering workflows for end-to-end model training, customization, and scalable inference.
- Experience with cloud platforms like AWS or Azure Machine Learning for managed LL

Postúlate en Kit Empleo: kitempleo.com.co/empleo/1azny3

📌 Senior Data/ml Engineer (Bogotá)
🏢 Idt
📍 Bogotá