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Machine Learning Engineer (al - fnc250910 005/01)
Build and maintain scalable ML pipelines for deployment of AI workloads
Singapore
Mid-Level
9 hours agoBe an early applicant
Xcellink
A provider of integrated business process outsourcing solutions, specializing in customer relationship management and back-office services.
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ML Engineer
We are looking for an ML Engineer to develop and scale our AI platform, build robust ML pipelines, and enable the deployment of AI workloads.
What You Will Be Working On
- Design, build, and maintain scalable ML infrastructure using tools like Kubeflow, MLflow, and RunAI.
- Automate the setup and management of ML environments and pipelines to ensure consistency and reliability.
- Ensure automated testing and validation of AI/ML models before deployment.
- Monitor model performance and health, using tools for logging, monitoring, and alerting.
- Implement strategies for model retraining and updating based on performance metrics.
- Collaborate with data scientists, engineers, and stakeholders to translate requirements into scalable ML solutions.
- Participate actively in agile ceremonies such as sprint planning, daily stand-ups, retrospectives, and backlog grooming.
About Xcellink
A provider of integrated business process outsourcing solutions, specializing in customer relationship management and back-office services.