Machine Learning Specialist - Fraud Detection

What role you will play in team: Develop and improve machine learning models for fraud detection within a large-scale financial institution.

What you will do: You'll work with large datasets to identify patterns and anomalies indicative of fraudulent activity.

Key responsibility:

• Design, develop, and deploy machine learning models for fraud detection.
• Evaluate model performance and identify areas for improvement.
• Collaborate with engineers to integrate models into production systems.
• Stay up-to-date on the latest advancements in machine learning and fraud detection techniques.
• Monitor model performance in production and retrain models as needed.

Required Qualification and Skills:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Experience with machine learning algorithms (e.g., anomaly detection, classification).
• Proficiency in Python or another programming language.
• Familiarity with big data technologies (e.g., Hadoop, Spark).
• Strong problem-solving and analytical skills.

Benefits Included:

• Competitive salary and benefits.
• Opportunities for career growth and development.
• Collaborative and supportive team environment.
• Impactful work contributing to fraud prevention.
• Opportunities to learn and utilize cutting-edge technologies.

A Day in the Life: Your day will likely involve data analysis, model training, performance evaluation, and collaboration with engineers to deploy models into production.