Python & Docker Engineer for AI Evaluation and Automation Platform

I'm looking for a Python Engineer with strong Docker and automation experience to contribute to an AI evaluation and training platform. The project focuses on building, testing, and validating complex technical workflows in containerized environments, ensuring reliable execution, reproducibility, and automated scoring of AI-generated solutions. Responsibilities include developing Python-based evaluation scripts, creating and maintaining Docker environments, implementing automated testing and validation pipelines, integrating simulation and analysis workflows, and optimizing system performance for large-scale AI assessments. You will work closely with technical specifications to design robust solutions that accurately measure and benchmark AI capabilities across diverse problem domains. The ideal candidate has experience working with Python, Docker, CI/CD workflows, automation frameworks, and backend systems. Familiarity with AI tooling, evaluation frameworks, testing infrastructure, or developer platforms is a plus. This is an exciting opportunity to work on cutting-edge AI initiatives, helping build the infrastructure and evaluation systems that support the next generation of intelligent software.