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Azumo is currently looking for a highly motivated Data Scientist to develop and enhance data and analytics infrastructure. The position is FULLY REMOTE based in Latin America.
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. If you have a passion for designing and implementing advanced machine learning and deep learning models, this role is perfect for you. We are seeking a skilled Data Scientist with expertise in Python for production-level projects, proficiency in machine learning and deep learning techniques such as CNNs and Transformers, and 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
- Build robust pipelines to deploy models at scale (Docker, Kubernetes, CI/CD)
Data Engineering & MLOps
- Ingest, clean and transform large datasets using pandas, NumPy, Spark
Automate training and serving workflows with Airflow or similar
- Monitor model performance in production; iterate on drift detection and retraining strategies
Software Development Best Practices
- Write production-grade Python code following SOLID principles, unit tests and code reviews
- Collaborate in Agile (Scrum) ceremonies; track work in JIRA
Document architecture and
📌 Data Scientist (México)
🏢 Azumo
📍 México