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 ...
... plan to develop a large model that will be the core ... -premises Understanding of the data model lifecycle English minimum B2 Our ...
... . Deploying and maintaining machine learning models on Kubernetes clusters. General Requirements: ... MLOps and deploying machine learning models on Kubernetes. Experience in administering ...
... the development of drug portfolio models and algorithms using R and ... methods) Working Knowledge in developing models Extensive experience in Python and ...
... -time-off approach. Hybrid work model. Set of social packages. Requirements: ... ). Expertise in Cloud Application Programming Model (CAPM). Proficiency in Node.js, ...
... analysis for training our data models Our expectations: Advanced Python Regular ... large datasets for training data models API Integration Fluent English Natural ...
... cutting edge AI, large language models, software development best-practices and ... with cloud platforms and bringing models to production. Experience with Python ...
... specific business needs. Develop data models, data flows, and data integration ... . Experience with various kinds of models including but not limited to ...
... . Building and launching new data models and data pipelines. Implementing best ... engineers and being a role model. YOUR TECH TOOLBOX 4+ years ...
... data pipelines to support AI models Ensure smooth data flow from ... embeddings Familiarity with developing multimodal models Knowledge of database optimization techniques ...