MLOps engineer
Work alongside software engineers and data scientists to ensure that quantitative research models are effectively developed, tested, and deployed in production environments.
Responsibilities
Creation and maintenance of CI/CD pipelines for efficient deployment of ML models
Data management
e.g. connect with data sources and create ETL pipelines, cleanse the data, create datasets for model retraining
Create pipelines for automated model testing
Skills
Must have
1. Strong knowledge of Python and familiarity with relevant libraries, e.g. scikit-learn, TensorFlow, and PyTorch.
2. Data
SQL, ETL, Pandas.
3. Containerization (Docker / Kubernetes) and Cloud (AWS).
Nice to have
Experience in applying MLOps principles to financial domain.
Familiarity with Databricks.
Other
Languages
English: C1 Advanced
Seniority
Senior
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