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 deploy causal inference models for online marketing.
• Design and maintain machine learning pipelines for model deployment.
• Collaborate with product managers and engineers to support business goals.
• Monitor model performance and make updates as needed.
• Automate routine tasks and build systems for large data handling.
• Document work and share results with team members.

Requirements

• Experience with production-grade machine learning systems.
• Proficiency in Python and ML frameworks like TensorFlow and PyTorch.
• Ability to design end-to-end ML workflows using MLflow and Apache Airflow.
• Experience with containerized microservices using Docker and Kubernetes.
• Knowledge of causal inference techniques for data-driven strategies.
• Hands-on experience with cloud platforms like AWS and big data technologies.

Benefits

• 28 days of vacation and additional time off for your birthday.
• Flexible working hours and a hybrid working model.
• Access to employee discounts on SIXT services.
• Training programs and opportunities for personal growth.
• Private health insurance for well-being support.
• Additional perks to enhance employee experience.