Machine Learning Engineer Fraud Detection ti Steps

1.0 - 4.0 years

1 - 3 Lacs

Hyderabad, Chennai, Bengaluru

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Machine Learning Engineer Fraud Detection Job Title : Machine Learning Engineer Fraud Detection Location : Chennai, Hyderabad, Bangalore Experience : 1-4 Role Summary: Design and deploy machine learning models to detect and prevent fraudulent activities in real-time across payment and lending platforms. Key Responsibilities: Build and train models for anomaly detection, behavioural analysis, and risk scoring. Work with data scientists and engineers to deploy models in production. Continuously monitor model performance and retrain as needed. Integrate models with fraud detection systems and alert mechanisms. Stay updated on emerging fraud tactics and ML techniques. Qualifications: 36 years in machine learning or data engineering. Strong programming skills in Python, TensorFlow, PyTorch, or similar. Experience with fraud detection systems and real-time data pipelines. Knowledge of supervised and unsupervised learning techniques. Familiarity with financial regulations and data privacy standards.

Posted 4 days ago

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