Machine Learning Architect - Singapore - ASTEK SINGAPORE INNOVATION TECHNOLOGY PTE. LTD.

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    Description
    Roles & Responsibilities

    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.
    Tell employers what skills you have

    TensorFlow
    Machine Learning
    PaaS
    Leadership
    Use cases
    Kubernetes
    Big Data
    Architect
    Artificial Intelligence
    Spark
    PyTorch
    Speech Recognition
    Python
    Containerization
    Data Science
    Orchestration