Machine Learning Engineer

Details

Join ING Hubs Poland to support deployment and integration of machine learning models into fraud detection and alert handling systems for the banking sector. We are looking for a Machine Learning Engineer with strong data science skills, a deep understanding of fraud and cyber security, and a passion for operationalizing models.

Responsibilities

• Deploy and integrate machine learning models into fraud detection engines and alert handling systems
• Optimize, test, and maintain analytics code
• Collaborate with data scientists, engineers and rulewriters to improve efficiency of detection and alert handling
• Contribute to a Scrum-based, international team focused on innovation and security

Requirements

• Proficiency in Python and SQL
• Knowledge of ML frameworks (Scikit-learn, Pandas, NumPy)
• Great analytical skills and ability to work with big data
• Strong mathematical knowledge and logical thinking
• Knowledge of cybercrime threats (phishing, malware, sociotechnical attacks, skimming, etc.)
• Experience deploying models and integrating them into rule-based fraud detection and alert handling systems
• Excellent problem-solving, communication, and teamwork skills

Nice to have

• Experience optimizing code/compute and handling large datasets for fraud detection
• Master’s degree in a relevant field
• Certifications or experience in banking fraud or cyber security

Information about the squad

• Machine Learning Engineer – deployment & model integration
• Join an innovative team to support the deployment and seamless integration of machine learning models into fraud detection and alert handling systems for the banking sector
• The role naming convention in the global ING job architecture will be “Engineer IV”

Compensation note

• The expected salary for this position: 13 000 - 18 000 PLN gross
• The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations