Machine Learning Team Leader – Lead AI Solutions

Our client is a pioneering organization specializing in advanced AI applications, focusing on delivering high-impact machine learning scoring solutions and innovation at the intersection of data science and practical deployment.

• 8+ years of experience in Machine Learning or Data Science in production environments.
• 2+ years of direct people management experience.
• Proven expertise in full model lifecycle: data preparation, feature engineering, training, evaluation, and deployment.
• Hands-on skills in Python and SQL, with knowledge of frameworks like PyTorch or TensorFlow.
• Experience operating ML workloads within cloud environments, especially GCP.
• Strong decision-making skills based on metrics such as revenue, GMV, and conversion rates.
• Excellent communication skills in English at least at B2 level.

Nice to have:

• Experience in AdTech, recommendation systems, or marketplace ranking at scale.
• Familiarity with CI/CD pipelines, experiment tracking, and feature store integrations.
• Exposure to online inference environments and collaboration with platform teams.
• Background in developing models for pCTR/pCVR prediction.

• Lead and ensure on-schedule delivery of high-quality ML scoring solutions, including click and conversion predictions, for sponsored offers.
• Manage training scope for deep learning models, including feature space definition and lifecycle standards.
• Oversee the transition of scoring responsibilities from existing teams, collaborating closely with backend and product stakeholders.
• Provide expert insights into future roadmaps, ensuring alignment with business strategies and technological advancements.
• Drive end-to-end model training initiatives, from data preparation to deployment, ensuring scalability and robustness.
• Collaborate across ML, engineering, and product teams to ensure strategic and operational excellence.
• Maintain and improve cloud-based ML workloads on GCP, utilizing services like Vertex AI, BigQuery, and Cloud Storage.

Only candidates with an existing legal right to work in the European Union will be considered for this role.