Machine Learning Team Lead

Nasze wymagania: 8+ years of experience in Machine Learning or Data Science roles within production environments. 2+ years of direct people management experience, leading teams successfully. Proven expertise in end-to-end model lifecycle processes: data engineering, feature engineering, training, evaluation, and deployment. Strong hands-on skills in Python and SQL, with practical knowledge of ML frameworks such as PyTorch or TensorFlow. Experience working with cloud platforms, preferably Google Cloud Platform (Vertex AI, BigQuery, Cloud Storage). Ability to drive cross-functional projects and communicate effectively with stakeholders at all levels. Good command of English at B2 level or higher. Mile widziane: Experience in AdTech, recommendation systems, or marketplace ranking at scale. Familiarity with model artifact repositories, CI/CD pipelines for ML, and experiment tracking tools. Experience working with online inference environments and platform teams. Knowledge of developing pCTR/pCVR-like models. O projekcie: As an Machine Learning Team Lead, you will be working for our client, a pioneering industry leader in artificial intelligence and data science. You will oversee the delivery of high-quality ML scoring solutions, such as click and conversion predictions, powering Sponsored Offers. Your leadership will drive cutting-edge projects, from model training to deployment, ensuring strategic alignment and technical excellence. This is a chance to shape the future of ML in a dynamic environment, fueling innovation and career growth. Ignite innovation in AI — lead the future of machine learning and deep learning excellence! Warszawa-based opportunity with hybrid work model (up to 2 days remote per week). Only candidates with an existing legal right to work in the European Union will be considered for this role. Zakres obowiązków: Lead and manage a team responsible for developing and deploying sophisticated machine learning models, ensuring project milestones are met on schedule. Oversee the full model lifecycle including data preparation, feature engineering, training, evaluation, calibration, and controlled rollout. Coordinate transition of scoring responsibilities from existing teams in collaboration with backend and product stakeholders. Provide expert insights and guidance on deep learning models, feature spaces, and lifecycle standards. Drive the training scope for deep learning models, maintaining high quality and efficiency. Collaborate across ML, backend, and product teams to ensure strategic alignment and high performance. Contribute to future ML roadmaps, leveraging expertise to optimize Sponsored Offers’ machine learning solutions. Communicate effectively with stakeholders, including director-level, to report on progress, insights, and impact. Oferujemy: Stable and long-term cooperation with very good conditions Enhance your skills and develop your expertise in the financial industry Work on the most strategic projects available in the market Define your career roadmap and develop yourself in the best and fastest possible way by delivering strategic projects for different clients of ITDS over several years Participate in Social Events, training, and work in an international environment Access to attractive Medical Package Access to Multisport Program Access to Pluralsight Flexible hours