Senior Machine Learning Engineer

📋 Description

• Design, train, and deploy ML models to enhance CX and fight fraud.
• Collaborate with Fraud, Tech, Product, Sales, and Finance teams.
• Deploy and scale ML models in production, ensuring scalability and reliability.
• Stay at the forefront of ML/AI trends and innovation.

🎯 Requirements

• Strong background in probability, statistics, and algorithms for fraud detection.
• Expertise with ML frameworks (Keras, PyTorch).
• Experience deploying models on cloud platforms (AWS, GCP, Azure).
• Knowledge of scalable ML systems and real-time deployment.
• Familiarity with data structures, data modeling, and software architecture.
• Experience with fraud detection techniques (anomaly detection, graph analytics) and MLOps/CI/CD.

🎁 Benefits

• Competitive benefits and global team culture.
• Learning & Development opportunities.
• Flexible work perks and wellbeing support.
• Staff discounts, wellbeing resources, and parental leave.