Senior Machine Learning Engineer

What role you will play in team: Lead the development and deployment of machine learning models for our fraud detection system.

What you will do: Design, develop, and deploy machine learning models to improve the accuracy and efficiency of our fraud detection system.

Key responsibility:

• Develop and maintain machine learning models for fraud detection.
• Collaborate with other engineers and data scientists to design and implement data science solutions.
• Monitor model performance and identify areas for improvement.
• Stay up-to-date on the latest machine learning technologies and techniques.
• Work independently and as part of a team.

Required Qualification and Skills:

• Master's degree or PhD in computer science, statistics, or a related field.
• 5+ years of experience in machine learning.
• Proficiency in Python or R.
• Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.
• Experience with cloud computing platforms such as AWS or Azure.

Benefits Included:

• Competitive salary and benefits package.
• Opportunities for professional development and growth.
• Collaborative and supportive work environment.
• Flexible work arrangements.
• Stock options.

A Day in the Life: You'll be involved in design meetings, coding, testing, and deploying new models, monitoring their performance, and investigating anomalies.