Project Information:Project length: 6 months + extensionsSalary: 35-42 EUR/h netto + VATWorking model: 100% remoteContract: B2BRole Overview:We are looking for an experienced Machine Learning Engineer to serve as the “brains” of the AI AdOps Agent. This role will focus on designing, training, and deploying machine learning models that power anomaly detection and performance forecasting for advertising operations.Main Responsibilities: Analyze large and complex advertising datasets to uncover trends, patterns, and insights. Design and implement ML models for anomaly detection and performance forecasting. Leverage AWS AI services to build and deploy scalable solutions. Optimize models for accuracy, efficiency, and real-world performance.

Collaborate closely with engineering and product teams to integrate ML capabilities into production workflows.

Key Requirements: Proven experience in developing and deploying machine learning models at scale. Strong proficiency in Python and common ML libraries (e.g., scikit-learn, TensorFlow, PyTorch). Hands-on experience with AWS AI/ML services (SageMaker, Bedrock highly desirable). Solid background in statistics, data modeling, and time-series forecasting.

Strong problem-solving and communication skills, with the ability to translate business needs into technical solutions.

Other Details:This position will work within the ad tech industry, providing opportunities to collaborate with global enterprise publishers and brands. The role is suited for candidates interested in innovative solutions and advancing machine learning in advertising technology.