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Jobs in Singapore   »   Jobs in Singapore   »   Engineering Job   »   Platform Engineer (Datalku, ML)
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Platform Engineer (Datalku, ML)

Kris Infotech Pte. Ltd.

Job Description:

  • Research, design and deploy software & tools required for AI factory team and their customers. The software infrastructure asset may include DataIku, MLOps, Graph, Vector databases.
  • Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.
  • Work with infrastructure operation teams to integrate hardware and software systems and develop specifications and performance requirements to deliver quality platform experience.
  • Ensure infrastructure assets are patched to manage vulnerabilities and upgraded before it gets obsolete.
  • Analyze user needs in terms of scalability, availability and security to design and cater infrastructure and software solutions.
  • Provide support for critical business needs on platform troubleshooting / scalability issues.
  • Configure and extend custom monitoring solutions for proactive platform management.
  • Assist users in setting up and deploying new DataIku projects; collaborate with data scientists and analysts to optimize project workflows.
  • Provide support and guidance to users on platform capabilities and features; create documentations and best practices.
  • Ensure smooth integration of DataIku projects with existing systems and data sources.

Requirements:

  • At least a bachelor degree in computer studies.
  • Minimum 5 years of experience in software engineering role ideally in banking environment.
  • Experienced with DataIku development or similar tools.
  • Experienced with infrastructure build / maintenance (on premise or cloud).
  • Good knowledge on virtual machines, Kubernetes / Docker hosting and setup.
  • Knowledge of Python programming and Shell scripting.
  • Strong troubleshooting and debugging skills in Linux OS and networking.
  • Proactive style of working with a strong ethos of continuous learning.

    Preferred (additional skills preferred, but not mandatory)
    - Knowledge on Data modeling, Data science, Data processing, etc.
    - Exposure to cloud infrastructure #DevFinSecOps
    - ITIL process and policies

    If Dataiku is not present, experience of Tableau or Power BI (more to Data Oriented) and some Devops Experience.


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