Overview:
The AI Engineer III at AmTrust is a senior-level role designed for experienced professionals with a strong background in AI model development, software engineering, and project management. This position requires a deep understanding of machine learning, deep learning, and software development principles. The AI Engineer III will lead the design, development, and optimization of AI models and software applications, ensuring they meet business requirements and performance standards.

Responsibilities:

• AI Model Development: Lead the design, development, and optimization of advanced AI models to improve performance and accuracy. Utilize frameworks such as TensorFlow and PyTorch.
• Software Engineering: Develop and maintain software applications and APIs using languages such as Python and C#. Ensure code quality through refactoring and code reviews.
• Project Management: Manage AI and software projects from inception to completion, including enhancements and bug fixes. Interface with business analysts to discuss timelines and clarify requirements.
• Data Management: Develop and optimize complex data queries for databases and domain objects. Ensure data integrity and accuracy.
• Collaboration: Work closely with cross-functional teams, including development, marketing, IT, and customer service, to solve AI design and development problems.
• Documentation: Write and maintain technical documentation for AI models, software applications, and project workflows.
• Mentorship: Provide guidance and mentorship to junior AI engineers and software developers. Conduct training sessions and share best practices.

Qualifications:

• AI Model Development: Lead the design, development, and optimization of advanced AI models to improve performance and accuracy. Utilize frameworks such as TensorFlow and PyTorch.
• Software Engineering: Develop and maintain software applications and APIs using languages such as Python and C#. Ensure code quality through refactoring and code reviews.
• Project Management: Manage AI and software projects from inception to completion, including enhancements and bug fixes. Interface with business analysts to discuss timelines and clarify requirements.
• Data Management: Develop and optimize complex data queries for databases and domain objects. Ensure data integrity and accuracy.
• Collaboration: Work closely with cross-functional teams, including development, marketing, IT, and customer service, to solve AI design and development problems.
• Documentation: Write and maintain technical documentation for AI models, software applications, and project workflows.
• Mentorship: Provide guidance and mentorship to junior AI engineers and software developers. Conduct training sessions and share best practices