AI Engineer I

mTrade • Oxford, MS

8d

About The Position

This role involves designing, developing, and training AI and machine learning models. The engineer will work with large volumes of unstructured data, perform model tuning and validation, and resolve performance issues. A key aspect of the role is contributing to the architecture of AI systems, deploying models into production, and collaborating with software engineers and stakeholders for integration. Continuous improvement of models based on metrics and feedback is also essential.

Requirements

• Bachelor’s degree in a computer science, computer engineering, or relevant field with focused education or professional experience in artificial intelligence or machine learning; a generic computer science background without AI/ML depth is not sufficient.
• Demonstrates hands-on experience training, evaluating, and refining machine learning or AI models.
• Strong understanding of machine learning algorithms, neural networks, optimization techniques, and model evaluation methods.
• Ability to work independently and manage complex technical tasks with minimal supervision while exercising wide latitude for professional judgment.
• U.S. Citizenship is required.

Nice To Haves

• Master’s degree in Artificial Intelligence, Machine Learning, Data Science, or a closely related field, with a thesis or significant project focused on AI/ML.
• Experience with pytorch and/or tensorflow libraries (project examples may be requested).
• Experience working with large, complex datasets.
• Familiarity with deploying and maintaining AI models in secure or regulated environments.

Responsibilities

• Design, develop, and train AI and machine learning models using a variety of techniques, including supervised, unsupervised, and deep learning approaches.
• Manipulate, analyze, and interpret large volumes of unstructured data from disparate sources to identify patterns, relationships, trends, and efficiencies.
• Perform model training, tuning, validation, and retraining, optimizing for accuracy and efficiency.
• Independently diagnose and resolve model performance issues, data quality problems, and algorithmic limitations.
• Design and implement experiments to evaluate model behavior, compare algorithms, and validate assumptions.
• Contribute to the overall architecture of AI systems, ensuring trained models integrate effectively with data pipelines, APIs, and downstream systems.
• Deploy trained models into production environments and perform ongoing monitoring and maintenance to ensure sustained performance.
• Collaborate with software engineers and technical stakeholders as needed to integrate trained models into operational systems.
• Continuously improve models using performance metrics, feedback, and evolving data.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level