👉Machine Learning Engineer, Team Leader

You will be

• Ensuring that the team delivers high-quality ML Scoring solutions, such as click and conversion predictions, on schedule
• Maintaining responsibility for the team’s technical output and project milestones
• Managing the training scope for deep learning models, including feature space definition and model lifecycle standards
• Orchestrating the transition of scoring responsibilities from existing teams in cooperation with backend and product stakeholders
• Providing expert insight to future roadmaps for the ML scope

Your profile

• 8+ years of experience in Machine Learning or Data Science roles in production environments
• 2+ years of direct people management experience
• Proven track record in leading end-to-end model training initiatives for business use cases
• Strong practical expertise in the full model lifecycle: data preparation, feature engineering, training, evaluation, calibration, and controlled rollout
• Hands-on proficiency in Python and SQL, with a strong understanding of ML/deep learning frameworks, such as PyTorch or TensorFlow, and scalable data processing workflows
• Experience operating ML workloads in cloud environments, preferably GCP (Vertex AI, BigQuery, Cloud Storage)
• Proven ability to drive cross-functional execution across ML, serving, and product domains, ensuring strategic alignment and performance visibility for stakeholders
• Strong decision-making based on business impact metrics (revenue, GMV, conversion) and experimentation results
• Very good command of English, both written and spoken, enabling effective collaboration in an international and cross-functional environment
• Openness to on-site workshops up to 1–3 times per quarter in Warsaw
• Work from the European Union region and a work permit are required
• Candidates must have an active VAT status in the EU VIES registry

Nice to have

• Experience in AdTech, marketplace ranking, or recommendation systems at scale
• Familiarity with model artifact repositories, CI/CD for ML, experiment tracking frameworks, and feature store integrations
• Exposure to online inference environments and cooperation with platform teams maintaining such services
• Experience developing pCTR/pCVR-like models

Recruitment Process

• CV review
• HR call
• Interview
• Client interview
• Decision

Benefits

Development

• Development budgets of up to 6,800 PLN
• Funded certifications, e.g., AWS and Azure
• Access to Udemy, O’Reilly (formerly Safari Books Online), and more
• Events and technology conferences
• Technology Guilds
• Internal training
• Xebia Upskill

We take care of your health

• Private medical healthcare
• Subsidised MultiSport card
• Mental Health Support

We are flexible

• B2B or employment contract
• Contract for an indefinite period