Description
The AI Engineer will join a focused AI team solving scientific problems in precision product development. Responsibilities include MLflow experiment tracking and evaluation reporting, training-data quality validation, building and training CNN-based image-classification and defect-detection models, and contributing to Docker-packaged ML pipelines, CI/CD scripts, inference tests, and deployment validation. The role accepts fresh graduates through candidates with up to one year of experience, prioritizes demonstrated ML project competency, and provides mentorship in physics-informed AI, Bayesian methods, and product-development ML systems.
