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Senior Machine Learning Engineer
·Israel
On-siteFull-timeAI & Machine LearningFinancial Services
Develop production machine learning models, analytical systems, and backend services for risk management, fraud detection, underwriting, and operational decision-making in financial technology.
Responsibilities
- Research statistical behaviors and analyze domain-specific data
- Develop, deploy, and continuously improve machine learning models and agents
- Integrate models into production services and support regulatory model audits
- Operate backend infrastructure for training and deploying machine learning models
- Develop Python code that translates model outputs into financial decisions
- Analyze multiple data sources to identify fraudulent patterns
- Evaluate model impact on portfolio performance
- Implement changes to improve portfolio performance
- Collaborate with engineering and product management teams
Requirements
- Bachelor’s degree in a quantitative discipline, such as data science, computer science, mathematics, or statistics
- At least 3 years of experience developing and deploying machine learning models in production, unless demonstrating exceptional talent with a relevant bachelor’s degree
- Knowledge of data science techniques, algorithms, and processes
- Strong analytical and algorithmic skills, including rigorous model evaluation and data-driven problem solving
- Ability to independently own the full machine learning model lifecycle
- Strong Python development skills
- Professional English communication skills
Nice to have
- Master’s degree in data science, computer science, mathematics, statistics, or a related quantitative field