Astek is offering a role of ML Architect for our projects based in Singapore.
Responsibilities:
- Defining the processes, standards, frameworks, prototypes and toolsets in support of AI and ML development, monitoring, testing and operationalization. This includes decisions around leveraging open-source, augmented ML, pretrained ML models or integrated AI PaaS solutions.
- Establishing operational efficiency in AI initiatives by becoming the liaison with and developing a feedback loop between data science development and business use cases to ensure delivery of business value.
- Architecting, designing, directing and leading AI and ML solutions that are scalable, fault-tolerant and low-bias and that can be integrated and operationalized using available tools and resources.
Requirements:
- Minimally 8 years of relevant experience
- Knowledge ML operationalization and orchestration (MLOps) tools, techniques and platforms. This includes scaling delivery of models managing and governing ML Models and managing and scaling AI platforms
- Be familiar with ML algorithms, AI use cases and applications. Should have an understanding of, but not expertise in, open-source high-code frameworks like PyTorch or TensorFlow, augmented AI and ML platforms, pretrained ML models and integrated AI PaaS tools.
- Have experience in designing system that leverages Big Data Processing framework, such as Spark
- Have experience in designing system that leverages Containerization platform, such as OpenShift or Kubernetes
- Have knowledge about Machine Learning and Data Science concepts, tools and automation processes.
- Have experience in defining the processes, standards, frameworks, prototypes and toolsets in support of AI and ML development, monitoring, testing and operationalization.
