Responsibilities
- Lead end-to-end development of machine learning models, including data pipeline creation, feature engineering, training, evaluation, deployment, and ongoing monitoring, ensuring appropriate metric selection and guarding against data leakage, overfitting, and model drift.
- Maintain and enhance the ML platform infrastructure, managing GitOps CI/CD workflows, release cycles, and monitoring model performance via Datadog, while defining service-level objectives and alerting systems to ensure production reliability.
- Collaborate with cross-functional teams to identify and implement machine learning use cases that generate business value, such as credit risk modeling and AI-driven operational tools, while supporting knowledge sharing through code reviews and technical guidance.
Benefits
- Annual salary paid over twelve months
- Eligibility for profit-sharing and employee savings plan
- Comprehensive health insurance fully covered by employer, including family coverage
- Full employer coverage for disability insurance
- Access to fitness partnerships through Gymlib or Classpass, or receive €30 monthly reimbursement for sports activities
- Fully paid maternity and paternity leave with no tenure requirements, plus option to return on a 4/5 schedule at full pay for eight weeks
- Annual sustainable mobility allowance of €544.80, applicable to non-fully remote roles
- Daily meal vouchers worth €10, with 50% subsidized by employer
- Free access to mental wellness platform MindDay
- 25 days of paid vacation annually, with additional leave available for executive contracts
- Subscription to a learning and development platform for professional growth
- Eligibility for up to two weeks of remote work during summer months for hybrid employees
Compensation
Competitive annual salary based on 12-month pay cycle
Work Arrangement
Hybrid — Paris, France
Other
- Full-time employment
- Position based in Paris or fully remote within France
- Hiring process includes video interviews, applied ML tasks, coding and system design discussions, and a cultural fit assessment