Machine Learning Engineer - Fraud Detection

What role you will play in team: Develop and implement machine learning models to detect and prevent fraudulent activities.

What you will do: Design, train, and deploy machine learning models to identify suspicious patterns and transactions.

Key responsibility:

• Develop and implement machine learning models using various algorithms and techniques.
• Evaluate model performance and optimize for accuracy and efficiency.
• Collaborate with engineers to deploy models into production systems.
• Monitor model performance and identify areas for improvement.
• Stay up-to-date with the latest advancements in machine learning and fraud detection.

Required Qualification and Skills:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Strong programming skills in Python.
• Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.
• Experience with big data technologies is a plus.
• Understanding of fraud detection techniques.

Benefits Included:

• Competitive salary and benefits package.
• Opportunities for professional growth.
• Challenging and rewarding work environment.
• Impactful work contributing to fraud prevention.

A Day in the Life: You will spend your time developing and testing machine learning models, collaborating with engineers, and monitoring the performance of deployed models.