Senior Machine Learning Engineer
4 days ago
Job Overview
The Senior Machine Learning Operations Engineer at Wawanesa Insurance is responsible for designing, developing, deploying, and monitoring machine learning models, collaborating with different teams to ensure effective machine learning solutions.
Key Responsibilities:
- Business Intelligence and Problem-Solving: Translate business needs into machine learning problem statements, leveraging expertise in data analysis and statistical modeling.
- Algorithm Development and Deployment: Assess, improve, and modify machine learning algorithms and models as needed for deployment, ensuring seamless integration with existing systems.
- Code Optimization and Maintenance: Convert exploration team's code into production-level solutions, ensuring scalability, reliability, and maintainability.
- Infrastructure Management: Oversee the maintenance of model-agnostic MLOps infrastructure, ensuring efficient data processing and model deployment.
- Collaboration and Testing: Collaborate with development teams to test and deploy models, ensuring alignment with business objectives and technical requirements.
- Performance Evaluation and Improvement: Create metrics to evaluate model performance continuously, identifying areas for improvement and implementing data-driven solutions.
- Staying Current with Industry Trends: Stay up-to-date with new tools, techniques, and methodologies in machine learning, applying knowledge to drive innovation and improvement.
Requirements
More than five years' experience in developing and deploying enterprise-scale machine learning solutions, with a Bachelor's degree in a related field required.
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