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Jobs or company...

Platform Engineer - Dataiku, ML

Salary undisclosed

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Who we are

Crédit Agricole Corporate and Investment Banking (Crédit Agricole CIB) is the corporate and investment banking arm of Crédit Agricole Group, world’s 10th largest bank by total assets.

Our Singapore center, Information Systems Asia Pacific (ISAP), is the second largest IT setup (after Paris Head Office) for Crédit Agricole CIB's worldwide business. We work daily with international branches located in 30 markets by:

  • Envisioning and preparing the Bank’s futures information systems
  • Partnering and supporting core banking flagships and transverse areas in their large scale development projects
  • Providing premium In-house Banking applications

Context

Crédit Agricole CIB is engaged in a major digital transformation of its Business and Operations. We believe having a strong data governance, data quality and data lineage in our value chains with other major disruptive technological evolutions.

Over the past years, we groomed our skills, expertise and experience at building effective Data Analytics solutions. We want to sustain and improve them with data management practices.

Profile

We are looking for an experienced Platform Engineer to join the AI Factory team. This person will be a part of a dynamic team, focused on massively improving the operational efficiency of the organization related to on premise or on our hybrid platform.

This is an exciting opportunity to join a technology team that is responsible of a portfolio of solutions for various business lines of the bank (Risk, Finance, Compliance, Market Risk, Trade Finance, Operations, and Advanced analytics tools evaluations).

This position requires someone with:

  • At least a Bachelor’s 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

Key responsibilities

The role of Platform Engineer encompasses:

  • 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

Additional skills preferred, but not mandatory:

  • Knowledge on Data modeling, Data science, Data processing, etc.
  • Exposure to cloud infrastructure #DevFinSecOps
  • ITIL process and policies
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