Software Engineer Pleno, AI Platform
... scientists iterate and re-train models quickly and easily. * Build features ... teams to create and maintain models. * Continuously challenge and evolve the ...
... scientists iterate and re-train models quickly and easily. * Build features ... teams to create and maintain models. * Continuously challenge and evolve the ...
... 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- ...
... Neuroscience modeling group develops mathematical models (such as PKPD and QSP) ... internship project involves developing mechanistic models to link pathological nucleotide expansion ... must be able to build models in a programming language (e. ...
... Duties and Responsibilities * Optimize model capabilities and collaborate with key stakeholders to ensure our models are developed to deliver on ... a thorough understanding of existing models and lead future model enhancement efforts. * Perform analysis of ...
... exploration, preparation, and preprocessing to model selection and AI training to evaluation of the model and presentation to stakeholders.brbr* ... solutions such as current foundation models and multimodal generative AI models.brbr* You will be supported ...
... us at Nokia Bell Labsbrbr* Model Training and Optimization: Train and fine-tune cutting-edge deep learning models tailored for complex radio communication ... , robustness, and efficiency of AI models applied to wireless communication scenarios. ...
... and effective. Through our hybrid model of in-house delivery centers ... ways of working and operating models, process simplification and innovative solutions, ... drive an efficient global operating model for the GBS function * Drive ...
... analytics platform. Responsibilities: Model Development & Deployment: Build, deploy, and maintain high-performance machine learning models for anomaly detection and time ... build efficient pipelines for model training and inference. MLOps Implementation: ...
... tools to monitor and analyze model performance and data accuracy including ... data processing Ability to construct model features utilizing open-banking data, ... data to enhance rules and models Experience utilizing models and developing features for real ...
... Machine Learning, algorithms, and statistical models (e.g., classification, regression, time ... , and adherence to policies. Deliverables: Model business requirements into a standardized ...