Machine Learning Engineer

Job 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 solutionsMaintain 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. Minimum Qualifications Education & Prior Job ExperienceBachelor's degree in Computer Science, Computer Engineering, Data Science, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 7 to 9+ years of full Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale machine learning applications in hosted production environments 2+ years of professional, design, and open-source experience