Data Scientist - Latin America - Remote

Azumo

México

A distancia

MXN 1.489.480 - 1.861.851

Jornada completa

14 días+

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Ventajas ofrecidas por este puesto de trabajo

Paid time off (PTO)

U.S. Holidays

Training

Udemy free Premium access

Mentored career development

Free English Courses

Profit Sharing

$US Remuneration

Descripción de la vacante

A software development firm is seeking a highly motivated Data Scientist to enhance data and analytics infrastructure. This fully remote position invites collaboration with talented data scientists, with responsibilities including model development, data engineering, and cross-functional collaboration. Candidates should have expertise in Python, machine learning, and deep learning.

Formación

5+ years of professional experience with Python in production environments.
Solid background in machine learning & deep learning.
Hands-on experience with PyTorch or similar frameworks.

Responsabilidades

Design, train and validate supervised and unsupervised models.
Architect and implement deep learning solutions with PyTorch.
Build robust pipelines to deploy models at scale.

Conocimientos

Python

Machine learning

Deep learning

Data engineering

MLOps

Statistics

Educación

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

Herramientas

PyTorch

Docker

Kubernetes

pandas

NumPy

Spark

Descripción del empleo

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Azumo is currently looking for a highly motivated Data Scientist to develop and enhance 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. If you have a passion for designing and implementing advanced machine learning and deep learning models, this role is perfect for you. We are seeking a skilled Data Scientist with expertise in Python for production-level projects, proficiency in machine learning and deep learning techniques such as CNNs and Transformers, and 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
Build robust pipelines to deploy models at scale (Docker, Kubernetes, CI/CD)

Data Engineering & MLOps

Ingest, clean and transform large datasets using pandas, NumPy, Spark

Automate training and serving workflows with Airflow or similar

Monitor model performance in production; iterate on drift detection and retraining strategies

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 https://azumo.workable.com 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)
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): S3, EC2, SageMaker, etc
Familiarity with big-data ecosystems (Spark, Hadoop)
Practice in CI/CD & container orchestration (Jenkins/GitLab CI, Docker, Kubernetes)
Exposure to MLOps tools (MLflow, Kubeflow, TFX)
Experience with large language models and prompt engineering
Documentation skills using PlantUML or similar

Benefits