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Senior Machine Learning Engineer at Trafilea. Location Information: Latin America. About Trafilea. Trafilea is a Consumer Tech Platform for Transformative Brand Growth. We’re building the AI Growth Engine that powers the next generation of consumer brands.. With over $1B+ in cumulative revenue, 12M+ customers, and 500+ talents across 19 countries, we combine technology, growth marketing, and operational excellence to scale purpose-driven, digitally native brands.. We own and operate our own digitally native brands (not an agency), with presence in Walmart, Nordstrom, and Amazon, and a strong global D2C footprint.. Why Trafilea. We’re a tech-led eCommerce group scaling our own globally loved DTC brands, while helping ambitious talent grow just as fast.. 🚀 We build and scale our own brands.. 🦾 We invest in AI and automation like few others in eCom.. 📈 We test fast, grow fast, and help you do the same.. 🤝 Be part of a dynamic, diverse, and talented global team.. 🌍 100% Remote, USD competitive salary, paid time off, and more.. Key responsibilities. The mission of the Machine Learning Engineer is to . develop, deploy, and maintain advanced machine learning models that drive innovation, efficiency, and business performance across Trafilea. . This role bridges business strategy and technical execution by crafting production-ready code, building scalable systems, and applying scientific methodologies to solve complex challenges. The engineer ensures ML initiatives deliver measurable business value and position Trafilea at the forefront of AI-powered growth.. Model Development & Deployment. Build robust, scalable ML models aligned with service architecture.. Write testable, production-ready code with coverage for edge cases and errors.. Integrate models into business systems, ensuring reliability and explainability.. Experimentation & Research. Apply the scientific method and KDD process to model development.. Explore new ML techniques (Deep Learning, Shap values, forecasting methods).. Contribute innovative solutions to high-impact business problems.. Data Engineering & Pipelines. Design scalable data pipelines supporting model features.. Ensure data integrity, reproducibility, and automation in ML workflows.. Business Alignment & Collaboration. Align ML initiatives with strategic goals, contributing to business discussions.. Partner with marketing, growth, and BI teams to optimize performance and decision-making.. Team Development. Mentor peers, contribute to knowledge sharing, and improve team processes.. Provide constructive feedback to colleagues and stakeholders.. Education. : Degree in Computer Science, Mathematics, Statistics, or related field (advanced student accepted, min 3rd year).. Experience. :. Machine Learning Engineer: 3+ years.. Semi Sr: 4+ years.. Sr ML Engineer: 5+ years.. Proven track record in scalable ML model deployment.. Technical Skills. :. Python, R, SQL.. ML cloud tools (AWS ecosystem, MLFlow).. Deep understanding of ML lifecycle (KDD, Deep Learning, MLOps, pipelines).. Strong testing, refactoring, and code quality practices.. Attributes. :. Strong analytical and problem-solving skills.. Excellent communication skills (technical & non-technical).. Business-oriented mindset; aligns ML with strategic priorities.. Proactive, growth-oriented, and collaborative.. Preferred Experience. : Marketing, e-commerce, or growth-focused ML applications.