
Machine Learning Engineer Graduate
3 days ago
Responsibilities
Develop machine learning solutions for identifying and preventing various fraudulent activities.
Analyze large-scale business and security data to detect abnormal user behavior and evolving risky patterns.
Build data pipelines to enable scalable and real-time risk prevention.
Test and analyze the effectiveness of developed solutions.
Collaborate with cross-functional teams to mitigate business risks.
Develop, deploy, and monitor models in relevant software platforms.
Qualifications
Final year or recent PhD graduate in Software Development, Computer Science, Computer Engineering, or related fields.
Proficiency in one or more programming languages.
Familiarity with machine learning frameworks such as scikit-learn, TensorFlow, PyTorch (preferred).
Strong critical thinking, rationality, and result-oriented communication skills.
Additional Information
This job is active and accepting applications. Candidates should specify their availability and graduation date in their resume. Applications are reviewed on a rolling basis.
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