... needs into crisp mathematical formulations (models); train those models; and, with a small team ... for data preprocessing, feature engineering, model training, and evaluation. You will ... things that use large language models (LLMs) and familiarity with pre- ...
... , test, and refine machine learning models to support decision-making for ... Engineering techniques to optimize AI model performance. * Build or integrate a ... performance testing to validate AI models against business requirements.Program Highlights * ...
... hybrid work modelBlackRocks hybrid work model is designed to enable a ... can count on this hybrid model to accelerate your learning and ...
... effectiveness of large language models (LLMs) within our ecosystem. * Collaborating ... * Familiarity with large language models (LLMs) and vector databases. * Basic ... for hosting scalable AI models. * Excellent communication, collaboration, and interpersonal ...
... , stress-free introduction Step 2: Face-to-Face Interview (30 minutes) Held in ...
... , stress-free introduction Step 2: Face-to-Face Interview (30 minutes) Held in ...
... , stress-free introduction Step 2: Face-to-Face Interview (30 minutes) Held in ...
... physics-, chemistry-, and biology-informed models for large molecule drug development. ... of complex antibody formats. * Apply model to molecular design tasks for ...
... -for-purpose PK-PD mathematical models using specialized modeling software to ... contributions including data analyses, mathematical models, summary presentations, and reports to ...
... discovery efforts, focusing on foundational models, LLMs, and generative AI, particularly ... in developing and applying Generative models for scientific applications.br * Knowledge ...