Чем предстоит заниматься
Align with in silico discovery partners on dataset handoffs
Build and evaluate applied ML models
Champion reproducibility documentation and responsible AI
Collaborate with data and data science engineering teams
Curate document and version datasets
Define model evaluation frameworks
Develop featurization and model ready datasets
Ensure dataset semantics and model reliability in production
Frame ML problems for DMTL decision points
Specify features labels and aggregation levels