Machine Learning Engineer - Fraud Detection

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

What you will do:Improve the accuracy and efficiency of fraud detection systems.

Key responsibility:

• Develop and deploy machine learning models to detect fraudulent transactions.
• Analyze large datasets to identify patterns and anomalies indicative of fraud.
• Evaluate model performance and identify areas for improvement.
• Collaborate with other engineers and business stakeholders.
• Stay current on the latest advancements in fraud detection and machine learning.

Required Qualification and Skills:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 1-2 years of experience in machine learning.
• Proficiency in Python and a machine learning library (e.g., scikit-learn).
• Experience with data visualization and reporting tools.
• Strong analytical and problem-solving skills.

Benefits Included:

• Competitive salary and benefits.
• Opportunities for growth and development.
• Collaborative work environment.
• Work from home option.

A Day in the Life: You will work on model development, data analysis, and collaborate with others to improve fraud detection.