Senior Machine Learning Engineer

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.