MLOps engineer
Luxoft
Project descriptionWork alongside software engineers and data scientists to ensure that quantitative research models are effectively developed, tested, and deployed in production environments.ResponsibilitiesCreation and maintenance of CI/CD pipelines for efficient deployment of ML modelsData managemente.g. connect with data sources and create ETL pipelines, cleanse the data, create datasets for model retrainingCreate pipelines for automated model testingSkillsMust have1. Strong knowledge of Python and familiarity with relevant libraries, e.g. scikit-learn, TensorFlow, and PyTorch.2. DataSQL, ETL, Pandas.3. Containerization (Docker / Kubernetes) and Cloud (AWS).Nice to haveExperience in applying MLOps principles to financial domain.Familiarity with Databricks.OtherLanguagesEnglish: C1 AdvancedSenioritySeniorIrvine, US, United States of AmericaReq. VR-122102AI/MLBCM Industry05/06/2026Req. VR-122102
Vacancy posted 3 days ago
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