About the Role
The role involves developing advanced AI/ML models to enhance risk assessment and compliance monitoring systems, ensuring accuracy, scalability, and alignment with regulatory standards.
Responsibilities
- Design and deploy machine learning models for fraud detection and risk analysis
- Collaborate with data scientists and engineers to integrate AI solutions into production systems
- Evaluate and process large datasets to improve model performance
- Monitor model behavior and implement updates based on new data trends
- Ensure models comply with regulatory and audit requirements
- Develop data pipelines to support real-time risk monitoring
- Optimize algorithms for speed and accuracy
- Work with security teams to safeguard sensitive information
- Document technical designs and model decisions
- Support deployment and maintenance of AI systems in cloud environments
- Participate in code reviews and system architecture discussions
- Troubleshoot issues in machine learning workflows
- Stay current with advancements in AI and compliance technologies
- Translate business requirements into technical implementations
- Assist in defining data governance policies
- Improve model interpretability for compliance reporting
- Collaborate on cross-functional projects involving risk systems
- Contribute to testing frameworks for AI components
- Ensure models meet ethical and fairness standards
- Work with stakeholders to define risk thresholds and alerting logic
- Support incident investigations using AI-driven insights
- Refine data labeling processes for supervised learning
- Evaluate third-party AI tools and libraries
- Maintain version control for models and training data
- Contribute to disaster recovery planning for AI services
Compensation
Competitive salary based on experience
Work Arrangement
Remote, Latam region
Team
Collaborative engineering team focused on risk and compliance systems
Why This Role Matters
This position plays a critical role in strengthening automated risk detection and ensuring systems meet evolving compliance standards across global markets.
Technology Stack
Python, TensorFlow, PyTorch, Scikit-learn, AWS SageMaker, Kafka, Docker, Kubernetes, PostgreSQL, BigQuery
Career Growth
Opportunities to lead AI initiatives and mentor junior engineers within the technology division.
Not applicable
