Role overview
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.
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.
What you'll work on
- 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)
What we're looking for
- Experience with cloud platforms (AWS, GCP, or Azure) and their AI-specific services like Amazon SageMaker, Google Vertex AI, or Azure Machine Learning
- Familiarity with big-data ecosystems (Spark, Hadoop)
- Practice in CI/CD & container orchestration (Jenkins/GitLab CI, Docker, Kubernetes)
- Exposure to MLOps/LLMOps tools (MLflow, Kubeflow, TFX)
- Experience with Large Language Models, Generative AI, prompt engineering, and RAG pipelines
- Hands-on experience with vector databases (e.g., Pinecone, FAISS)
- Experience building AI Agents and using frameworks like Hugging Face Transformers, LangChain or LangGraph
- Documentation skills using PlantUML or similar
Benefits
- Paid time off (PTO)
- U.S. Holidays
- Training
- Udemy free Premium access
- Mentored career development
- Profit Sharing
- $US Remuneration