Job Description:
Experience, Education and Licensure
• More than 8 years of experience in operationalization of AI models or high-definition solutions, and integration with business processes and
applications.
• More than 6 years of experience in product architecture, product
management, and systems interoperability.
• Domain and industry knowledge, with deep understanding of how
Insurance companies and Claims Management divisions work.
• Experience with technology-driven transformations and end-to-end AI
solutions lifecycle.
• Deep understanding of machine learning/AI principles and concepts, and
how AI solutions integrate with existing business processes or applications.
• Proficiency in road mapping, definition, and implementation of
prioritization frameworks.
• Expertise in cloud application solutions, API design and management, and
marketplace business and deployment models.
• Experience working with agile teams, writing user stories, and grooming
backlogs.
• Functional knowledge of composable products with a high level of
configurability.
• Working knowledge and proficiency in the development of implementation
and adoption plans for composable offerings, including documentation of
configuration requirements.
• Proficiency in the operations of a not-for-profit organization.
• Knowledge of advanced data analytics platforms and visualization tools to
create reports and dashboards in a self-service approach.
Technical Skills
• Working knowledge of cloud services (MS Azure, AWS) and data platforms
(Azure ADF, Databricks).
• Experience with AI tools, such as MS Azure AI Foundry, Azure ML, Snowflake Cortex AI,
Dataiku.
• Proficiency in programming languages such as Python, R, or SQL.
• Experience designing integrations using tools such as MS Azure API
Management, Boomi, MuleSoft, and Apigee
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