Senior Machine Learning Engineer

What role you will play in team: Lead the development and implementation of machine learning solutions for our insurance products.

What you will do: Design, build and deploy advanced ML models for risk assessment and fraud detection within our insurance operations.

Key responsibility:

• Lead the design and development of machine learning models for various insurance applications.
• Develop and maintain robust data pipelines for model training and evaluation.
• Work closely with data scientists and business stakeholders to define project requirements.
• Implement model monitoring and retraining strategies to ensure continuous performance.
• Stay current on the latest advancements in machine learning and apply them to solve business challenges.

Required Qualification and Skills:

• Master's degree in Computer Science, Statistics, or related field.
• 5+ years of experience in machine learning engineering.
• Expertise in Python and machine learning libraries (scikit-learn, TensorFlow, PyTorch).
• Experience with cloud platforms (AWS, Azure, GCP).
• Strong communication and collaboration skills.

Benefits Included:

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Collaborative and supportive team environment.

A Day in the Life: A typical day involves collaborating with data scientists, developing and testing ML models, deploying solutions into production, and monitoring performance.