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
Requirements
Skilled in Linux and Python, with knowledge of JavaScript or other scripting languages.
Experience with containerized applications (Docker, Kubernetes) and ML infrastructure tools such as Kubeflow, MLflow, and RunAI.
Familiarity with end-to-end ML lifecycle management, including model development, training, validation, and deployment.
Strong problem-solving skills and ability to troubleshoot complex issues.
Excellent communication and collaboration skills.
Ability to work in a fast-paced, dynamic environment.
Continuous learning mindset to keep up with technological advancements.
Preferably minimum 2 years of relevant working experience.
Machine Learning Engineer (AL-FNC250910 005/01) • Singapore, Singapore, SG
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