Machine Learning Engineer

What role you will play in team: You'll be part of a team developing cutting-edge machine learning solutions for our insurance products.

What you will do: You'll design, develop, and deploy machine learning models to improve risk assessment and fraud detection.

Key responsibility:

• Develop and implement machine learning models for fraud detection and risk assessment.
• Work with large datasets using big data technologies.
• Deploy models into production environments.
• Monitor and improve model performance.
• Collaborate with other engineers and data scientists.
• Stay updated on the latest advances in machine learning and AI.

Required Qualification and Skills:

• Master's degree in Computer Science, Data Science, or a related field.
• Experience with Python or other programming languages.
• Experience with machine learning frameworks such as TensorFlow or PyTorch.
• Understanding of big data technologies (e.g., Hadoop, Spark).
• Strong problem-solving and analytical skills.

Benefits Included:

• Competitive salary and benefits.
• Opportunities for professional growth and development.
• A dynamic and collaborative work environment.
• Work from office.

A Day in the Life: You'll spend your day developing and testing machine learning algorithms, collaborating with your team, and deploying models to production.