Machine Learning Architect

JOB DUTIES:

• Define end-to-end ML system architecture, including data pipelines and model frameworks.
• Establish standards and best practices for model development and deployment.
• Evaluate and select tools, platforms, and technologies for ML solutions.
• Provide technical guidance, participate in design reviews, and support engineering teams.
• Ensure AI/ML solutions comply with internal policies, security standards, and regulatory requirements; maintain architectural diagrams and operational runbooks.
• Design, develop, and optimize scalable and efficient machine learning models using modern frameworks and libraries.
• Collaborate with cross-functional teams to translate business problems into ML solutions.
• Validate, tune, and optimize machine learning and deep learning models for performance, accuracy, and reliability.
• Build ML solutions across the lifecycle (development through deployment).

Work with optimization of machine learning models, deploying and monitoring machine learning and deep learning models in production, Google Cloud Platform machine learning services, model versioning, release, and rollback processes, containerized, distributed, and high-availability machine learning systems, Terraform, Python, Vertex AI pipeline, Vertex Workbench, Google cloud SDK, Kubeflow pipeline SDK, Big Query, Github, Jenkins, SQL, Object Oriented Programming.

Bachelor’s degree in Actuarial Science, Mathematics, Statistics, Data Science, Machine Learning or a related field plus 2 years of experience. Foreign degree equivalent based on education, training, and/or experience is acceptable.

Experience to include two years working with optimization of machine learning models, deploying and monitoring machine learning and deep learning models in production, Google Cloud Platform machine learning services, model versioning, release, and rollback processes, containerized, distributed, and high-availability machine learning systems, Terraform, Python, Vertex AI pipeline, Vertex Workbench, Google cloud SDK, Kubeflow pipeline SDK, Big Query, Github, Jenkins, SQL, Object Oriented Programming.

40 hours per week, M-F, 9:00 a.m. – 6:00 p.m.

Mobile Apps Enterprises LLC d/b/a Enhance IT, 1785 The Exchange SE, Atlanta, GA 30339. Travel is not required but must be willing to relocate to unanticipated locations across the country per contract demand.