Demonstrate strong hands-on experience in AWS cloud engineering and cloud-native architectures, including compute, container, serverless, networking, storage, database, security, monitoring and integration services, with the ability to independently design, provision, deploy, troubleshoot, secure and optimise AWS solutions;
Develop and maintain Infrastructure-as-Code (IaC) and automation to enable consistent, repeatable, traceable and controlled provisioning, configuration and management of cloud infrastructure and application environments.
Master's degree or above, with at least 3 years of hands-on experience in Reinforcement Learning (RL), Reinforcement Learning from Human Feedback (RLHF), or Reinforcement Learning with Verifiable Rewards (RLVR). Experience in Agent-related projects is preferred.
Develop and maintain Infrastructure-as-Code (IaC) and automation to enable consistent, repeatable, traceable and controlled provisioning, configuration and management of cloud infrastructure and application environments.
Develop and maintain Infrastructure-as-Code (IaC) and automation to enable consistent, repeatable, traceable and controlled provisioning, configuration and management of cloud infrastructure and application environments.
Work regularly with engineers to engage in conversations regarding their performance, professional growth, offering constructive feedback, mentoring, and guidance as needed.