Description

Collaborate with leaders, business analysts, project managers, IT architects, technical leads and other engineers, along with internal customers, to understand requirements and develop needs according to business requirements for AI solutions
Maintain and enhance existing enterprise services, applications, and platforms using domain driven design and test-driven development
Troubleshoot and debug complex issues; identify and implement solutions
Create detailed project specifications, requirements, and estimates
Research and implement new AI technologies to enhance current processes, security, and performance
Work closely with data scientists and product teams to build and deploy machine learning models, focusing on the technical aspects of model deployment.
Implement and optimize Python-based ML pipelines for data preprocessing, model training, and deployment.
Monitor model performance and implement strategies for bias mitigation and explainability. Responsible for ensuring models are scalable and efficient in production environments.
Write and maintain code for model training and deployment, collaborating with software engineers to integrate models into applications.
Partner with a diverse team of experts, leveraging cutting-edge technologies to build scalable and impactful AI solutions

Key Skills

Education

Bachelor's degree