MLOps Engineer – Portfolio Optimisation and Customer Analytics Platform (Banking)
Tasks
- Automate model retraining validation and promotion
- Collaborate with data scientists and analytics teams
- Design training and deployment pipelines
- Ensure reproducibility across environments
- Expose model outputs to LangChain and LangGraph workflows
- Monitor ML pipeline performance and stability
- Support scalable workloads on cloud platforms
Perks/Benefits
Skills/Tech-stack
Airflow | Automation | CI/CD | Cloud Platforms | Docker | Kubernetes | ML pipelines | MLflow | Python | Reproducibility | Workflow Orchestration
Education
Roles
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