Postúlate en Kit Empleo: kitempleo.com.ar/empleo/pzpjd

Azumo is currently looking for a highly motivated Data Scientist / Machine Learning Engineer to develop and enhance our data and analytics infrastructure. The position is FULLY REMOTE, based in Latin America. Professional English proficiency (B2/C1)

This position will provide you with the opportunity to collaborate with a dynamic team and talented data scientists in the field of big data analytics and applied AI. If you have a passion for designing and implementing advanced machine learning and deep learning models, particularly in the Generative AI space, this role is perfect for you. We are seeking a skilled professional with expertise in Python for production-level projects, proficiency in machine learning and deep learning techniques such as CNNs and Transformers, and hands‑on experience working with PyTorch.

We’re looking for a versatile Machine Learning Engineer / Data Scientist to join our big‑data analytics team.



In this hybrid role you’ll not only design and prototype novel ML/DL models, but also productionize them end‑to‑end, integrating your solutions into our data pipelines and services. You’ll work closely with data engineers, software developers and product owners to ensure high‑quality, scalable, maintainable systems.

Key Responsibilities

Model Development & Productionization

- Design, train, and validate supervised and unsupervised models (e.g., anomaly detection, classification, forecasting).
- Architect and implement deep learning solutions (CNNs, Transformers) with PyTorch.
- Develop and fine‑tune Large Language Models (LLMs) and build LLM‑driven applications.
- Implement Retrieval‑Augmented Generation (RAG) pipelines and integrate with vector databases.
- Build robust pipelines to deploy models at scale (Docker, Kubernetes, CI/CD).

Data

Postúlate en Kit Empleo: kitempleo.com.ar/empleo/pzpjd

📌 Data Scientist, Applied AI - Remote (Buenos Aires)
🏢 Azumo
📍 Buenos Aires