... and implementing of CI CD models Defining quality metrics and testing ... training programs Attractive home office models and flexible working hours A ... on car purchases, employee leasing models for electric vehicles and bicycles ...
... high standards of trustworthiness. Role model for diversity and inclusion. Acts as a positive role model contributing to the team spirit. ... : Acts as positive leadership role model, motivates, directs and inspires others ...
... create and improve machine learning model components feeding the real time ... highest standards in your statistical models, you’ll create a direct business ... input data and achieve full model understanding. In research tasks as ...
... by training our own generative models on top of the latest SOTA models in the field. Publish papers ... NeRF, 3D gaussian splatting, diffusion models or GANs is a big ...
... RESPONSIBILITIES: Literature review of ageing models and predictive fast charging algorithms Algorithm development of lifetime prediction ageing model of a battery pack Development ... pack SOH Validation of the model based on real test data ...
... and implemention of Large Language Models (LLMs) on Microsoft Azure cloud ... , optimization and implemention of AI models specifically tailored to marketing needs ... experience working with large language models and knowledge of AI-related ...
... Design of customer-centric business models and establishment expansion of ecosystem ... of future Digital Operating Models (Process, Digital Organization, Governance, New ... of new digital service models, establishing innovation management • Development and ...
... , where the development of predictive models and learning from data measurably ... methods and common machine learning models to identify trends and patterns ... , and querying a Large Language Model (LLM).Proficiency in programming languages ...
... create and improve machine learning model components feeding the real time ... highest standards in your statistical models, you’ll create a direct business ... input data and achieve full model understanding. In research tasks as ...
... , where the development of predictive models and learning from data measurably ... methods and common machine learning models to identify trends and patterns ... , and querying a Large Language Model (LLM).Proficiency in programming languages ...