L
MLOps engineer
Accepting applicationsLuxoft · Irvine, CA
Full-Time Mid_senior PythonaiaterF
Posted
2d ago
Category
Test
Experience
Mid_senior
Country
United States
Project Description:
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
Mandatory Skills Description:
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 Skills Description:
• Experience in applying MLOps principles to financial domain.
• Familiarity with Databricks.
Show more Show less
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
Mandatory Skills Description:
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 Skills Description:
• Experience in applying MLOps principles to financial domain.
• Familiarity with Databricks.
Show more Show less