Machine Learning Engineer | Marketing - Remote

Overview

Join our team of machine learning experts to bring cutting-edge causal inference models and algorithms into production at scale. Collaborate closely with data scientists to deploy, optimize, and maintain models that drive performance marketing, portfolio optimization, and large-scale ad automation.

In Short

• Work with data scientists to implement and deploy causal inference models for online marketing optimization.
• Design, develop, and maintain end-to-end pipelines for deploying machine learning models.
• Collaborate with cross-functional teams to transform experimental models into operational systems.
• Continuously monitor deployed models for performance, latency, and accuracy.
• Automate repetitive tasks and build scalable infrastructure for large-scale data.
• Document best practices and communicate technical details to stakeholders.

Requirements

• Experience in building, deploying, and maintaining ML models in production.
• Proficiency in Python and production-oriented ML frameworks.
• Experience with ML pipeline tools like MLflow and Airflow.
• Strong understanding of REST APIs and microservices architecture.
• Familiarity with causal inference models and techniques.
• Hands-on experience with cloud platforms (AWS) and their ML/AI services.
• Knowledge of distributed systems and big data technologies.
• Ability to work closely with data scientists and communicate technical concepts.
• Proactive and growth-oriented problem-solving mindset.

Benefits

• Enjoy 28 days of vacation and additional days off.
• Benefit from a hybrid working model and flexible working hours.
• Access discounts on SIXT services and partner discounts.
• Participate in training programs and conferences for personal growth.
• Private health insurance to support your well-being.
• Enjoy the Coverflex advantage system for enhanced employee experience.