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 Engineering & MLOps
Ingest, clean and transform large datasets using libraries like pandas, NumPy, and Spark.
Automate training and serving workflows with Airflow or similar orchestration tools.
Monitor model performance in

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