Senior MLOps Engineer (Risk Team)
New
P
Plata CardFintech / Risk Management
WorldwideFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- B1 or higher English level
- Experience
- 3+ years
- Required Skills
- DockerPythonSQLKubeflowMLFlowCI/CDMLOps
Requirements
- 3+ years of experience in ML Engineering, Data Engineering, or DevOps.
- Hands-on experience deploying and maintaining ML systems in production.
- Experience building ML training pipelines with experiment tracking and model registry (e.g., MLflow, W&B).
- Understanding of feature store concepts and train-serve consistency challenges.
- Strong Python programming skills.
- Experience with Docker and ML pipeline orchestration (e.g., Kubeflow, Argo Workflows, Metaflow).
- Solid SQL skills and understanding of data warehouse architecture.
- B1 or higher English level for effective communication.
Responsibilities
- Conduct evaluation of Feature Store or Feature Registry solutions and design the architecture and feature lifecycle process.
- Lead the implementation of feature store solutions by engineering and platform teams.
- Design, build, and own ML training and deployment pipelines including experiment tracking, model registry, and CI/CD for models.
- Select tooling and set up monitoring of model quality and feature health in collaboration with the Data Science team.
- Define alerting and response processes for model drift and degradation.
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