Data Scientist, Applied Ai - Latin America - Remote

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.

Key Responsibilities

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 production; iterate on drift detection and retraining strategies

Implement LLMOps practices for automated testing, evaluation, and monitoring of LLMs

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 workflows using PlantUML or comparable tools

Cross-Functional Collaboration

Communicate analysis, design and results clearly in English

Partner with DevOps, data engineering and product teams to align on requirements and SLAs

Azumo is an innovative software development firm helping organizations make insightful decisions using the latest technologies in data, cloud and mobility.

We combine expertise in strategy, data science, application development and design to drive digital transformation initiatives for companies of all sizes.

If you are qualified for the opportunity and looking for a challenge please apply online at Azumo/join-our-team or connect with us at ******

Minimum Qualifications

Bachelor\'s or Master\'s in Computer Science, Data Science or related field

5+ years of professional experience with Python in production environments

Solid background in machine learning & deep learning (CNNs, Transformers, LLMs)

Hands-on experience with PyTorch or similar frameworks (training, custom modules, optimization)

Proven track record deploying ML solutions

Expert in pandas, NumPy and scikit-learn

Familiarity with Agile/Scrum practices and tooling (JIRA, Confluence)

Strong foundation in statistics and experimental design

Excellent written and spoken English

Preferred Qualifications

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

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