Key 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.

Required Qualifications

· 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.

Preferred Qualifications

· 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.