At Pretius we are looking for a Machine Learning Research Team Leader to a large-scale e-commerce platform development.
Project / Role
- Lead, mentor and develop a team of Machine Learning Engineers and Data Scientists, ensuring high-quality delivery and team growth.
- Oversee the end-to-end development of ML scoring models supporting Sponsored Offers, including click and conversion prediction.
- Drive model training initiatives covering feature engineering, model calibration, offline and online evaluation, controlled rollouts and experimentation.
- Manage the transition of ML scoring responsibilities across teams and coordinate delivery with Product, Engineering and Platform stakeholders.
- Define technical standards for model lifecycle management, workflow orchestration and scalable ML development.
- Provide strategic input into the ML roadmap and communicate progress, risks and business impact to senior stakeholders.
- Foster cross-functional collaboration and ensure projects are delivered on time and aligned with business objectives.
Requirements
- 8+ years of commercial experience in Machine Learning or Data Science in production environments.
- At least 2 years of proven people management experience (mandatory).
- Strong experience leading end-to-end model training initiatives for business-critical use cases.
- Hands-on expertise across the full ML lifecycle, including data preparation, feature engineering, model training, evaluation, calibration and production rollout.
- Advanced knowledge of Python, SQL and deep learning frameworks such as PyTorch or TensorFlow.
- Experience working with Google Cloud Platform, particularly Vertex AI, BigQuery and Cloud Storage, as well as scalable data processing concepts (e.g. Dask or Spark).
- Strong understanding of ML infrastructure, including model lifecycle management, workflow orchestration, A/B testing and offline/online model evaluation.
- Ability to lead cross-functional initiatives and communicate effectively with technical teams and Director-level stakeholders.
- Strong business mindset with experience making data-driven decisions based on metrics such as revenue, GMV and conversion.
- English level B2+.
Nice to have
- Experience in AdTech, recommendation systems or marketplace ranking.
- Experience building pCTR, pCVR or similar prediction models.
- Familiarity with CI/CD for Machine Learning, experiment tracking frameworks, feature stores and model artifact repositories.
- Experience working with online inference platforms and production ML serving environments.
What do we offer?
- We focus on long-term relationships based on fair principles and reliability.
- Co-financing of the Multisport card and Medicover private healthcare.
- Modern office available.
- Team bonding activities, internal courses, conferences, certifications.