Found Description
SUMMARY:
Our client in the Network Communications sector is looking for an MLOps Engineer on a contract duration of 6 months.
Role Purpose
The MLOps Engineer is responsible for operationalising machine learning models into scalable, reliable and production-ready services. The role focuses on deploying, monitoring, maintaining and continuously improving ML models in production environments. Model development and feature engineering are owned by the FTE ML Engineer; this role ensures that models are effectively served, monitored and retrained within robust MLOps pipelines aligned to enterprise standards. POSITION INFO:
Key Responsibilities Deploy machine learning models into production environments using scalable and automated deployment practices. Build and maintain model serving infrastructure for real-time and batch inference use cases. Implement monitoring frameworks to track model performance, drift, latency, data quality and s...