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

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 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.

At

Azumo

we strive for excellence and strongly believe in professional and personal growth.

We want each individual to be successful and pledge to help each achieve their goals while at

Azumo

and beyond.

Challenging ourselves and learning new technologies is at the core of what we do.

We believe in giving back to our community and will volunteer our time to philanthropy, open source initiatives and sharing our knowledge.

Based in San Francisco, California,

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 ******

Requirements

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

#J-*****-Ljbffr