Platforms Engineer For AI Singapore

Platforms Engineer For AI Singapore

Job title: Platforms Engineer For AI Singapore

Company: National University of Singapore

Job description: Job Description AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI). The programme office is hosted by the National University of Sin Job Description AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI). The programme office is hosted by the National University of Singapore (NUS) and brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies developing AI products to perform use inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore’s AI efforts. The candidate will join a team of AI scientists, apprentices, data and software engineers. With the team, he or she will experiment and build AI solutions that can help Singapore companies improve their businesses using AI. A more seniorcandidate is expected to provide technical leadership, engage stakeholders, mentor and guide junior engineers and apprentices in the projects. As a Platforms Engineer under the AI Innovation Industry team, you’ll help to build and operate modern infrastructures and systems to run machine learning and deep learning workloads at scale. You will alsodesign, develop and maintain AIOps/MLOps platform and tooling stack to enable 100E and Makerspace project teams and Partners to build products better and faster.You are a person who strives to improve their knowledge of infrastructure, systems and automation continually. Build and maintain production infrastructure to be resilient, secure and high performance. Build and maintain infrastructure as code to automate the configuration, provisioning, deployment and monitoring of our systems. Build and maintain AIOps/MLOps platform and tooling stack. Collaborate with AISG partners to design, implement, and deploy new systems and improvements to existing systems Document Investigate issues arising from our systems when they occur Develop tools and software that improves and automates infrastructure Propose and drive technical decisions to completion Mentor AISG Apprentices and others Qualifications Excellent communication skills, including thoughtful listening skills and the ability to express complex ideas clearly and succinctly. The ability to reason about engineering issues holistically using engineering fundamentals and knowledge about architecture. A systematic approach to development and engineering, such as debugging or objectoriented design, DevOps practices, and agile software development. Have held at least one engineering or infrastructure position for a minimum of 2 years. Familiarity with data centre environments and appreciation of data centre operations. Proficient (2 years minimum) in at least one of the following programming languages, such as Python, Ruby, Go, Rust, Javascript, Java, C#. Proficient (2 years minimum) in administering Linux systems. Proficient (2 years minimum) in at least one Devops automation tool, such as Ansible, Chef, Puppet, Terraform, etc. Familiarity with virtualisation technologies such as KVM, VMWare etc . Proficient (2 years minimum) with container and container orchestration technologies such as Docker, rkt, Singularity, Kubernetes, Docker Swarm, Helm etc. Proficient (2 years minimum) with Clouds such as AWS, Microsoft Azure, Google Cloud Platform and code deployment tools. Familiarity with distributed systems and related technologies and tools such as highperformance computing cluster systems, Hadoop systems, job/workload schedulers etc. An aptitude for automated system design and implementation (automated deployments and automated testing). Previous experience in deploying end-to-end AI/ML solutions will be advantageous. Candidateswith AICE Associate certification and above that exhibit aptitude and potential for the above skills despite lack of experience may also be considered. Department : AI Singapore Employee Referral Eligible: No

Expected salary:

Location: Singapore

Job date: Thu, 13 May 2021 22:26:28 GMT

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