Machine Learning Specialist

What role you will play in team: You'll be part of a team developing and implementing machine learning solutions for insurance risk assessment and fraud detection.

What you will do: You'll build and deploy machine learning models to improve the accuracy and efficiency of our operations.

Key responsibility:

• Develop and implement machine learning algorithms for fraud detection and risk assessment.
• Build and maintain data pipelines for efficient data processing.
• Create visualizations to communicate insights to stakeholders.
• Collaborate with other teams to improve data quality and accessibility.

• Conduct research on cutting-edge machine learning techniques.
• Contribute to the development of robust and scalable data solutions.

Required Qualification and Skills:

• Master's degree in Computer Science, Statistics, or related field.
• 3-5 years experience in Machine Learning.
• Proficiency in Python and SQL.
• Experience with Machine Learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong analytical and problem-solving skills.

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• Excellent communication and teamwork skills.

Benefits Included:

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

A Day in the Life: A day might involve data analysis, model training, code development, testing, and collaboration with other team members.