Luxoft is hiring: Machine Learning Engineer (MLOps) in los angeles
Luxoft, los angeles, ca, United States
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
Mandatory Skills Description:
- 5+ Years of Python
- Familiarity with relevant libraries, e.g. scikit-learn, TensorFlow, or PyTorch.
- Containerization (Docker / Kubernetes) and Cloud (AWS).
Nice-to-Have Skills Description:
- Experience in applying MLOps principles to financial domain.