MLOps Engineer – Portfolio Optimisation and Customer Analytics Platform (Banking)
Tasks
- Automate model retraining validation promotion
- Collaborate with data scientists for experimentation to production
- Design training and deployment pipelines
- Ensure model reproducibility and consistency
- Integrate model outputs with LangChain and LangGraph
- Monitor ML pipeline performance stability reliability
- Support scalable analytical workloads on cloud
Perks/Benefits
Skills/Tech-stack
Apache Airflow | CI/CD | Cloud | Data Governance | Docker | Environment Management | Kubernetes | MLflow | Machine Learning | Model Deployment | Model Validation | Model retraining | Python | Reproducibility | Workflow Orchestration
Education
N/A
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