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 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.

About Azumo

Based in San Francisco, California,

Azumo is an innovative software development firm specializing in

AI software development services

- We help companies of all sizes build intelligent applications by combining expertise in data, cloud, and

AI

- Our talented

AI developers are trusted to deliver

Top AI Development services in

Generative AI

, intelligent automation, and custom machine learning solutions.

At

Azumo

, we believe in professional and personal growth. As a recognized

AI Development company

, we support our engineers in mastering the latest technologies and delivering

Top AI Development services worldwide. Our culture emphasizes collaboration, continuous learning, and solving complex problems with modern

AI solutions.



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

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

📌 Data Scientist, Applied Ai - Remote (Buenos Aires)
🏢 Azumo
📍 Buenos Aires