Senior Machine Learning Engineer

Trafilea is a Consumer Tech Platform for Transformative Brand Growth, building an AI Growth Engine for consumer brands. The Senior Machine Learning Engineer will lead the development and deployment of advanced ML models and scalable systems that drive critical business decisions.

Responsibilities:

• Develop production-ready machine learning systems with robust testing and scalable architecture
• Build and improve forecasting and optimization models using XGBoost and advanced ML techniques
• Design data pipelines and ML workflows that transform raw data into business intelligence
• Bring research into production through experimentation, iteration, and deployment
• Integrate ML systems into real business operations and user-facing tools
• Drive model explainability initiatives using SHAP values and LLM-powered insights
• Collaborate closely with Growth, Marketing Science, Product, and Engineering teams
• Influence technical strategy while aligning ML initiatives with business impact
• Mentor team members and help elevate engineering and ML standards across the organization

Requirements:

• 5+ years of experience building and deploying machine learning systems in production
• Strong expertise in Python, SQL, and modern ML frameworks
• Experience with XGBoost, forecasting models, and scalable ML pipelines
• Deep understanding of MLOps, testing strategies, CI/CD, and data engineering practices
• Experience working with AWS ecosystem, MLFlow, or similar cloud ML tooling
• Strong knowledge of the ML lifecycle, experimentation frameworks, and model optimization
• Ability to communicate technical concepts clearly to both technical and business stakeholders
• Experience in growth, marketing, e-commerce, or high-scale digital environments is a strong plus