Data Scientist, Applied AI - Remote
AzumoMexico City, Mexico City, Mexico • San Francisco, California, United States
Posted September 18, 2025
Full Time
About the Company
Azumo is a fast-growing nearshore software development company that helps businesses build intelligent applications with highly skilled developers and teams. We specialize in AI, data engineering, cloud, and mobile solutions, supporting companies across industries such as fintech, media, entertainment, and healthtech in overcoming complex challenges and scaling their technology efforts. We’ve earned the trust of some of the most innovative companies in the world, from startups to industry giants like Twitter, Facebook/Meta, and Discovery Channel. Our strength lies in our deep expertise in AI, data engineering, and enterprise application development, combined with a collaborative, outcome-driven approach. At Azumo, we’re more than just coders - we’re problem solvers, passionate about using modern technology to tackle your toughest challenges. Our nearshore model ensures seamless collaboration with engineers in Latin America, offering proximity and shared time zones that make working with us as easy as working with an in-house team. Whether you need to extend your development team or fully outsource your software projects, we’re here to help. Let’s build intelligent applications together. Visit us at azumo.com to learn more.
Job Description
Azumo is seeking a motivated Data Scientist to develop and enhance their data and analytics infrastructure. This REMOTE role will focus on the design, productionization, and deployment of machine learning models, particularly in the area of AI. The position will work closely with a dynamic team and provides the opportunity to collaborate with big data analytics and applied AI experts. The role requires experience with Python, PyTorch, and large language models.
Requirements
- 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.
- 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.
Benefits
- Paid time off
- U.S. Holidays
- Training
- Udemy free Premium access
- Mentored career development
- Profit Sharing
- Remuneration