13 ago - Italia
Allianz
Qualifications & Experience
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 6 - 8 years of overall IT experience, with 2-4 years in an GenAI role.
- Proven experience designing and implementing enterprise-scale solutions across multiple domains such as data platforms, cloud, integration, and application modernization.
- Hands-on experience with at least one major cloud platform (Azure, AWS, or GCP), including cloud-native services.
Role & Responsibilities
- Define a GenAI solution, ensuring scalability, security, interoperability, and future readiness.
- Utilize advanced Python skills to support and enhance AI use cases, ensuring the efficient and effective implementation of AI solutions.
- Develop and execute comprehensive test scripts using PyTest to ensure the reliability and accuracy of AI models and applications.
- Collaborate with cross-functional teams, including data scientists, engineers, and product managers, to integrate AI capabilities into existing systems and workflows.
- Analyze and optimize AI algorithms for performance and scalability, ensuring they meet business requirements.
- Stay updated with the latest advancements in AI and machine learning technologies and apply them to improve existing solutions.
- Provide technical expertise during architecture reviews, PoCs, AI pilots, and enterprise-scale implementations, ensuring measurable business value.
Ensure compliance with security, data privacy, regulatory, and enterprise governance standards, including model governance, data lineage, and auditability.
Must-Have
- Python: Advanced proficiency with extensive experience in writing efficient, maintainable, and scalable code. Demonstrated ability to solve complex problems using Python.
- PyTest: Basic experience in writing and executing unit tests, with a fundamental understanding of test-driven development practices.
Good-to-Have
- Cloud Computing: Familiarity with cloud platforms and services, with hands-on experience
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