👉Machine Learning Engineer, Team Leader
⚲ Warszawa
Do uzgodnienia
Wymagania
- Python
- SQL
- PyTorch
- TensorFlow
- GCP
- VertexAI
- People Management
Opis stanowiska
🟣 You will be:
• ensuring that the team delivers high-quality ML Scoring solutions (e.g., 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 strong understanding of ML/deep learning frameworks (e.g., 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 max 1-3 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: https://ec.europa.eu/taxation_customs/vies/
🟣 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 with 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,
• we fund certifications e.g.: AWS, 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,
• multiSport card - we subsidise a MultiSport card,
• mental Health Support.
🤸♂️ We are flexible:
• B2B or employment contract,
• contract for an indefinite period.
• ensuring that the team delivers high-quality ML Scoring solutions (e.g., 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 strong understanding of ML/deep learning frameworks (e.g., 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 max 1-3 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: https://ec.europa.eu/taxation_customs/vies/
🟣 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 with 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,
• we fund certifications e.g.: AWS, 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,
• multiSport card - we subsidise a MultiSport card,
• mental Health Support.
🤸♂️ We are flexible:
• B2B or employment contract,
• contract for an indefinite period.
🔍 Dekoder Ogłoszenia
🔴
ensuring that the team delivers high-quality ML Scoring solutions (e.g., click and conversion predictions) on schedule
Oczekuje się, że będziesz odpowiedzialny za terminowe dostarczanie rozwiązań, co może oznaczać presję czasu i potencjalne nadgodziny.
🔴
maintaining responsibility for the team's technical output and project milestones
Będziesz ponosić ostateczną odpowiedzialność za sukces techniczny zespołu, co może wiązać się z dużą presją.
🔴
managing the training scope for deep learning models, including feature space definition and model lifecycle standards
Może to oznaczać, że będziesz musiał definiować i egzekwować standardy, które niekoniecznie są jeszcze w pełni ugruntowane.
🔴
orchestrating the transition of scoring responsibilities from existing teams in cooperation with backend and product stakeholders
Przejmowanie odpowiedzialności może oznaczać konieczność rozwiązywania problemów i konfliktów wynikających z istniejących struktur.
🟢
providing expert insight to future roadmaps for the ML scope
Twoje opinie będą miały wpływ na przyszły kierunek rozwoju, co wymaga nie tylko wiedzy technicznej, ale także strategicznego myślenia.