Senior AI Engineer

AmTrust Financial Services•Cleveland, OH

63d•$125,000 - $145,000•Hybrid

About The Position

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.

Requirements

Experience in developing AI models, software applications, and APIs.
Proven track record of managing and delivering complex projects.
Advanced knowledge of machine learning and deep learning algorithms.
Proficiency in Python (TensorFlow, PyTorch) and C#.
Strong understanding of SQL and NoSQL databases.
Familiarity with cloud platforms such as Azure or AWS.
Excellent problem-solving and analytical skills.
Strong communication and interpersonal skills.
Ability to work independently and as part of a team.
Strong organizational and project management skills.
Bachelor’s Degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

Nice To Haves

Experience in AI model and software design/development at an advanced level.
Intermediate to advanced experience using Azure DevOps and API Management gateways.
Proven experience in writing comprehensive technical documentation.
Demonstrated ability to lead and mentor a team of engineers.

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.