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- Location: Open to candidates from LATIN AMERICANcountries (e.g., Mexico, Uruguay, Colombia, Peru, Argentina, Chile, Brazil, Costa Rica, Puerto Rico, Nicaragua, Dominican Republic, El Salvador, Honduras, Panama).
- Full-time, remote position.
- 4+ years of applied Machine Learning (ML) experience in a commercial setting.
- 6+ months of experience with Large Language Models (LLMs) and Generative AI (GenAI).

Requirements

- Bachelors degree in Computer Science, Software Engineering, or a related field.
- Proficiency in Python programming and advanced experience in NLP techniques and applications.
- Expertise in ML frameworks and libraries (e.g., TensorFlow, PyTorch, Keras, scikit-learn).
- Strong background in Object-Oriented Programming (OOP) principles and unit test-driven development.
- Experience with cloud environments (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
- Familiarity with prompt engineering and LLM optimization techniques.
- Experience in developing, deploying, and monitoring ML models.




- Strong analytical and problem-solving skills with the ability to propose innovative solutions.
- Bonus: Experience in areas such as agent development, fine-tuning LLMs, MLOps, or vector databases.

Role Overview

As an AI Engineer, you will work on cutting-edge AI solutions, enhancing AI-enabled products, and contributing to advanced ML systems. You will serve as a subject matter expert (SME) on client projects and drive the design and implementation of innovative AI systems.

Responsibilities

- Build and enhance AI-enabled products.
- Serve as an ML SME on client projects.
- Design and implement ML systems, including selecting datasets and algorithms.
- Conduct ML tests, experiments, and fine-tuning using test results.
- Train, retrain, and deploy models while ensuring effective monitoring and performance.
- Stay up-to-date with emerging technologies and ML best practices to improve methodologies.
- 20 days of PTO and local public holidays off.
- Reimbursement for relevant certifications (e.g., AWS).

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📌 AI Engineer (México)
🏢 MTS Moose Tech Solutions
📍 México