Machine Learning Engineer - Fraud Detection

What role you will play in team: You'll be a key player in building and maintaining our fraud detection system, protecting millions of customers from financial loss.

What you will do: You'll design, develop, and deploy machine learning models to identify and prevent fraudulent transactions.

Key responsibility:

• Develop and deploy machine learning models for fraud detection.
• Analyze large datasets to identify patterns and anomalies.
• Evaluate model performance and identify areas for improvement.
• Collaborate with engineers and data scientists.
  
• Maintain and improve existing fraud detection systems.
• Stay up-to-date with the latest advancements in machine learning.

Required Qualification and Skills:

• Bachelor's degree in Computer Science or related field.
• Experience with machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch).
• Proficiency in Python or Java.
• Experience with big data technologies (e.g., Hadoop, Spark).

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  Knowledge of fraud detection techniques.

Benefits Included:

• Competitive salary and benefits package.
• Opportunities for professional development.
• Work on impactful projects.
• Positive and collaborative team environment.

A Day in the Life: A typical day involves working with large datasets, building and testing machine learning models, and collaborating with other engineers and data scientists.