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Core Machine Learning Engineer Job Opening In Paris – Now Hiring SCOR


Job description

A Machine Learning Engineer is a cloud and software engineer with some basic knowledge in data modelling.

A ML Engineer is an advanced developer in a least one of the following languages: Java, Python, C, C++.


Key duties and responsibilities

ML Engineers are accountable for

  • The industrialization of models

  • Performant and scalable architecture

  • Optimization of model fine tuning

  • Deployments on self-managed infrastructure (e.g., self-managed cloud env)

  • Facilitation of Deployments on SCOR IT infrastructure 

  • The creation and maintenance of the ML Ops framework

  • Quality: reproducibility, experiment tracking, …

  • Availability: model storage, …

    Best-practices: CML and deployment

    Monitoring: drift, logs, performance

  • Coordination with different infrastructure owners or Solutions Owner to ensure application deployment (following DAS/IT framework).

  • Compliance

  • Adhere to all Information Security policies and best practices, including security awareness training and other information protection initiatives

  • Be fully compliant with GDPR and other local data protection legislation 

  • Be aware of regulatory and reputational risk when developing consumer-facing AI tools and suggest ways of mitigating these


  • Required experience & competencies

  • ~1-3 years’ experience in software programming capabilities and knowledge running models into production (containers, API)
  • Be an efficient software engineer with a good command of at least one of the following languages: Python, Java, Golang or C++
  • Be able to industrialize machine learning or deep learning models in the cloud
  • Respect the SCOR DAS IT framework (development framework): unit test, linting, typing, …
  • Read technical documentation/blogs on latest features of a programming language and cloud features
  • – Knowledge and familiarity with code versioning tools
  • – Basic knowledge of containerization technologies
  • SQL basic knowledge
  • Intermediate level and understanding in Operating Systems
  • Usage of shell
  • Seek for answers by themselves by knowing the key concepts to look at (debugging code, google right terms, looking for proper help)
  • Fluent with git (gitflow) and capable to implement CI/CD

  • Communication skills

  • Shares and communicates about his/her work to the rest of the technical team with accurate terms 
  • Documents his/her work (be able to write a technical report with explicit relevant and self-explicit charts, follow templates, etc.)
  • High level controls on his/her work
  • Proactively supports other team members with technical help and adopts a team mindset
  • Is realistic with timeframes and updates relevant stakeholders on progress
  • Can rigorously document a project in plain English
  • Business acumen

  • Proactively identifies and raises technical concerns/doubts on data projects 
  • Understands instructions and contributes to the vision by questioning or enriching the tasks defined during a project
  • Required Education 

  • Master’s degree (Ph. D.

    is a plus) in Software engineering, Technology, Engineering, , Computer Science or similar quantitative field
  • Bachelor’s degree or similar work experience is accepted in place of a relevant Master’s degree.
  • Certifications in open source components are a plus (CKAD, Docker etc.)
  • Required Skill Profession

    Computer Occupations


    • Job Details

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    2. Loyalty

    3. Impartiapty

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    Interview Tips for Core Machine Learning Engineer Job Success

    SCOR interview tips for Core Machine Learning Engineer

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