
Data Architect
2 days ago
Job Title:
Predictive Model Architect
Key Responsibilities:
- Develop and implement AI/ML predictive models to enhance business decision-making.
- Collaborate with senior executives and stakeholders to understand strategic needs and data requirements.
- Oversee the implementation, testing, and validation of machine learning algorithms.
- Integrate AI/ML models into product ecosystems, optimizing performance and efficiency.
- Provide expert analysis and interpretation of complex data sets.
- Stay up-to-date on emerging AI/ML trends and innovations.
- Drive technical vision and strategic direction for AI/ML initiatives.
- Partner with business analysts and developers to ensure effective utilization of AI/ML models.
- Take ownership of solving complex problems and applying advanced theoretical knowledge.
- Define and manage data requirements and data quality assessments.
Required Skills and Qualifications:
- 10+ years of experience in developing and deploying AI/ML predictive models.
- Expertise in machine learning techniques, including regression, classification, clustering, time series analysis, and deep learning.
- Advanced proficiency in programming languages such as Python or R.
- Extensive experience with data wrangling, feature engineering, and working with large, complex datasets.
- Proven track record in model validation and testing.
- Deep understanding of the insurance domain.
- Strong ability to communicate complex technical concepts to senior stakeholders.
- Significant hands-on experience working with both structured and unstructured data at scale.
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