Machine Learning Engineer
Mercado Libre14 hours ago
Bogotá, ColombiaMid Level
Responsibilities
- Design reliable and objective evaluators for ML models, LLM pipelines, SQL jobs, and agent skills.
- Configure and maintain local and FDA/Fury experimentation environments isolated from production systems.
- Debug autonomous loops and distinguish process failures, evaluation errors, and environment problems.
- Manage experimentation budgets covering compute resources, time, and cost.
- Optimize solutions across engineering, AI/agents, ML, product/UX, and analytics domains with significant autonomy.
- Develop and execute model-training workflows, including evaluation metrics, hyperparameter tuning, and experiment runners.
- Optimize SQL queries and analyze large-scale data-processing and query performance.
- Apply LLM prompting and prompt-engineering techniques with agentic AI tools.
- Use Git, command-line tools, Fury CLI, FDA, and evaluation runners.
- Create and maintain structured technical documentation in Markdown, including SKILL.md files and adapter contracts.
Requirements
- Experience in data science, ML engineering, or software engineering with a focus on experimentation.
- Experience developing and executing machine-learning model-training workflows.
- Experience with evaluation metrics, hyperparameter tuning, and basic Python scripting for evaluators and experiment runners.
- Ability to optimize SQL queries and analyze query performance.
- Knowledge of LLM prompting and prompt engineering, using tools such as Claude Code, Copilot, Codex, or similar.
- Proficiency with Git branches, commits, and resets, along with command-line and execution-infrastructure tools.
- Ability to read, write, and maintain structured technical documentation in Markdown and documentation-as-code repositories.
Benefits
- Hybrid work arrangement.
- Position available to applicants in Colombia and Brazil.
Categories
About Mercado Libre
Mercado Libre builds an e-commerce marketplace and fintech infrastructure for consumers and merchants across Latin America. It monetizes through marketplace transaction fees, payment processing (Mercado Pago), logistics and fulfillment (Mercado Envíos), advertising, and credit products. Founded in 1999 and headquartered in Buenos Aires, it operates in 18 countries and is publicly traded on Nasdaq under the ticker MELI.