# Data Scientist, Applied AI - Remote

> Azumo · Buenos Aires, Argentina (Remote) · Full-time · Posted 2025-09-09

**Workplace:** remote

## Description

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 people@azumo.co

## 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

## Apply

[Apply at Azumo](https://apply.workable.com/azumo/j/BDFC7FF4CB/apply)

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