Senior AI Engineer: ML Models, APIs & Mentorship (Hybrid)

AmTrust Financial Services Inc.; Cleveland (OH); Hybrid; USD 125,000 - 145,000; Full time

Benefits offered by this job

Medical & Dental Plans

Life Insurance

401k Savings Plans

Paid Time Off

Job summary

AmTrust’s AI Engineer III role seeks a senior professional to lead AI model development and software initiatives. You’ll guide design, implementation, and optimization of models and applications, collaborating with analysts and cross-functional teams.

You will mentor junior engineers, ensure data integrity, and drive project delivery from inception through deployment, leveraging ML/DL methods and cloud services.

Qualifications

• Bachelor's degree in Computer Science, Data Science, AI or related field.
• Experience delivering AI models, software applications and APIs.
• Strong Python and C# development background.
• Familiarity with ML/DL algorithms and cloud platforms (Azure/AWS).
• Excellent problem solving, communication and teamwork skills.

Responsibilities

• Lead AI model design, development, and optimization using TensorFlow or PyTorch.
• Develop and maintain software applications and APIs in Python and C#.
• Manage AI and software projects from start to finish with stakeholders.
• Develop and optimize complex data queries; ensure data integrity.
• Collaborate with cross-functional teams to solve problems and share progress.
• Create and maintain technical documentation for models, apps, and workflows.
• Mentor junior engineers and provide training on best practices.

Skills

AI modeling

Python

C#

TensorFlow

PyTorch

SQL

NoSQL

Azure

AWS

APIs

Education

Bachelor's in CS/DS/AI

Tools

Azure DevOps

API Management

Job description

AmTrust’s AI Engineer III role seeks a senior professional to lead AI model development and software initiatives. You’ll guide design, implementation, and optimization of models and applications, collaborating with analysts and cross-functional teams.

You will mentor junior engineers, ensure data integrity, and drive project delivery from inception through deployment, leveraging ML/DL methods and cloud services.