About the role

Data Scientist at Topaz leading advanced ML models for fraud prevention and ML pipeline automation, ensuring scalable and sustainable applications in production.

Responsibilities

Lead the development and deployment of advanced models that drive large-scale fraud prevention.
Develop and maintain automated ML pipelines (CI/CD) for model training, validation and deployment.
Adapt data transformation pipelines for machine learning model inference.
Ensure scalability and availability of ML applications in production environments.
Collaborate with Data Scientists to build robust and scalable pipelines.
Implement continuous monitoring systems for model performance in production.
Identify and mitigate performance degradation, data drift and concept drift.
Establish alerts and dashboards to track critical metrics.
Implement automated retraining strategies and model versioning.
Update models with new data while maintaining traceability and governance.
Implement explainability techniques (XAI) to ensure transparency and regulatory compliance.
Optimize infrastructure costs and processing time.
Explore and evaluate new technologies, frameworks and MLOps tools.
Contribute to defining best practices, technical standards and team documentation.
Stay up to date with trends and innovations in Machine Learning Operations.

Health & Well-being: Because we care about our teams, we offer various health plans focused on promoting well-being across the organization.
Personal and professional development: We are constantly evolving. We provide environments, programs and policies that ensure you have the space and opportunities needed for growth 🎓 Career path.
Flexibility and time off: Here you'll find the time necessary to recharge, and you can enjoy a day off on your birthday 🥳 Hybrid work arrangement.
Partnerships and discounts: We offer various partner agreements and discounts.