Lead Machine Learning Engineer

Architect, develop, and program integrated software solutions for the development, deployment, and lifecycle of machine learning models. Build and maintain robust data pipelines and monitoring systems in distributed computing environments while defining collection protocols and analyzing data sources. Develop, train, and evaluate models; create visualizations of data properties and model performance. Establish and optimize scalable processes for large-scale data operations to drive ML product improvements. Engage with business and analytics teams to translate data requirements into technical solutions leveraging machine learning principles. Collaborate with DevOps teams to integrate models into production systems and automate deployment processes. Validate, communicate, and monitor the delivery of customer requirements for AI/ML solutions. Participate in cutting-edge research in artificial intelligence and machine learning applications. Stay up-to-date with the latest advancements in machine learning and related technologies.