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1 day ago
As a seasoned AI/ML Professional, you will play a pivotal role in spearheading our organization's strategic initiatives. We are seeking an experienced leader to oversee the development and implementation of cutting-edge AI and machine learning solutions tailored for the insurance domain.
Key Responsibilities- Lead and manage a dynamic team of data scientists and engineers, fostering collaboration and driving high-performance results.
- Develop and implement comprehensive AI/ML strategies aligned with business objectives.
- Design, develop, and deploy innovative AI and machine learning models to solve complex problems in underwriting, claims processing, and customer service.
- Explore and implement generative AI techniques to create novel solutions for product development, risk assessment, and customer engagement.
- Oversee data management, ensuring data quality and integrity across large datasets.
- Collaborate with cross-functional teams to ensure successful integration and adoption of AI/ML solutions.
- Stay updated with the latest advancements in AI/ML and generative AI, driving continuous innovation within the team.
- Ensure all AI/ML solutions comply with industry regulations and ethical standards.
- Establish success metrics and KPIs for analytics initiatives with business stakeholders.
- Align analytics solutions with strategic business objectives and regulatory requirements.
- Provide technical guidance and mentorship to data scientists and analysts.
- Review and approve analytical models, code, and methodologies to ensure their robustness and scalability.
- Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
- Minimum 5 years of experience in AI/ML, with at least 3 years in a leadership role.
- Proficiency in programming languages such as Python, R, and Java; experience with AI/ML frameworks like TensorFlow, PyTorch, and scikit-learn.
- Cloud technology expertise, preferably Azure.
- Domain knowledge in insurance, with a strong understanding of industry-specific challenges and opportunities.
- Strong analytical skills with the ability to analyze complex data and generate actionable insights.
- Excellent communication and interpersonal skills, with the ability to convey technical concepts to non-technical stakeholders.
- Demonstrated experience in managing large-scale AI/ML projects from conception to deployment.
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