Machine Learning Engineer
... modeling, types of modeling, popular models, ways of evaluating the models etc. Data-based problem-solving ...
... modeling, types of modeling, popular models, ways of evaluating the models etc. Data-based problem-solving ...
... per second. We evaluate multiple models during a request, including deep ... on improving our deep learning models has been isolated in our ...
... through the development of analyses, models, algorithms, and dashboards Deploy long- ... it Create detailed documentation of models, algorithms, and analyses to build ...
... advanced AI and Machine Learning models to tackle real business problems work with Data Scientists to ensure ML models are production ready with high ...
... team to integrate AI ML models into scalable and efficient software ... standards Optimise and fine-tune models for performance improvements Implement features ...
... . Deploying and maintaining machine learning models on Kubernetes clusters. General Requirements: ... MLOps and deploying machine learning models on Kubernetes. Experience in administering ...
... . Build and launch new data models. Optimize existing data models and reports, elevating the efficiency ...
... KPIs. Develop recommendations for data models and collaborate on report building ... into data needs, defining data models and setting standards for data ...
... back-end development, building data models and working with data (ingest, ... of how to build efficient models for Power BI; Strong knowledge ...
... the development of drug portfolio models and algorithms using R and ... methods) Working Knowledge in developing models Extensive experience in Python and ...