ApplyStaff Machine Learning Engineer (Modelling), Risk
Posted about 1 month agoViewed
View full description
💎 Seniority level: Staff, 5+ years
📍 Location: Australia, New Zealand
🔍 Industry: Financial services
🏢 Company: Block👥 1001-5000ElectronicsManufacturing
⏳ Experience: 5+ years
🪄 Skills: AWSPythonArtificial IntelligenceData AnalysisGCPKerasMachine LearningMySQLNumpySnowflakeTableauAlgorithmsGoPandasTensorflowCommunication SkillsCollaborationMentoringAttention to detail
Requirements:
- Bachelor's degree in a quantitative field such as Mathematics/Statistics/Physics or Machine Learning (Masters or PhD preferred).
- 5+ years of experience in machine learning, artificial intelligence, or related fields.
- Strong knowledge of machine learning algorithms and data analysis techniques.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders.
Responsibilities:
- Be responsible for building machine learning models to detect and act against fraudulent activity.
- Research emerging fraud patterns.
- Lead and participate in cross-functional initiatives to tackle problems.
- Collaborate cross-functionally with engineering, product, and operations teams.
- Work closely with ML Engineering teams for model operation at scale.
- Contribute to the growth of modelling capabilities through mentoring.
Apply