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Machine Learning Operations Engineer

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NTT DATA

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Location:
France , Antony

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

The Machine Learning Operations Engineer role at NTT DATA involves designing, implementing, and maintaining software solutions to meet complex business requirements. The Senior DevOps Engineer is an advanced subject matter expert, responsible for consulting with internal clients about the software technology environment with high complexity. This role translates business requirements into technology terms and develops more complex algorithms and programming code for software solutions. The primary objective of the Senior DevOps Engineer is to design, test, implement and maintain software code that enables computer systems to perform specific tasks and assists with determining how technology can be applied to meet client needs.

Job Responsibility:

  • Works closely with Platform Specialists to receive detailed business/user requirement specifications
  • Assists with the preparation of a technical requirements document, including systems and flowcharts
  • Analyzes business requirements and ensures that the designed solution meets those requirements
  • Transforms the detailed requirements into a complete, detailed systems design document
  • Performs proof of concept if required
  • Compiles detailed technical specifications based on their designs for developers or IT Programmers to implement
  • Converts a design into a complete information system
  • Ensures that throughout the development phase, the process is documented including the development procedures for application use and security
  • Examines any program errors in logic and data and makes the necessary recommendations to correct the program
  • Works with the required teams to assist with the installation and deployment of the application
  • Assists with the resolution of any problems identified in the integration and test phases
  • Supports all the code sets and implementations that have been implemented in production in accordance with defined Service Level Agreements (SLAs)
  • Writes and distributes the task descriptions in a production environment to operate and maintains the solution
  • Assists with post-implementation process reviews

Requirements:

  • Bachelor’s degree or equivalent in Information Technology or related field
  • Advanced years of Software Development and Support experience
  • Advanced years of experience deploying software solutions to clients in an outsourced or similar IT environment
  • Advanced years of experience working in a multi-team environment across multiple geographies
  • Programming/development experience including Agile processes such as SCRUM, KANBAN
  • Advanced knowledge on multi-technology application design best practices
  • Ability to take holistic views of application environments, including hardware platforms, applications, databases, operating systems, and storage
  • Ability to work with abstract concepts and have sound problem solving and analytical skills
  • Advanced technical understanding of development and platform engineering
  • Advanced knowledge to design, implement, and maintain continuous integration and continuous deployment (CI/CD) pipelines
  • Advanced knowledge and experience with deployment and release management across environments
  • Advanced knowledge of Automation tooling and source code repositories
  • Strong programming skills in Python
  • Experience with cloud platforms like AWS and Azure

Nice to have:

  • Relevant DevOps certification
  • Relevant Agile related certification
  • Relevant certification of cloud platforms and services, for example (but not limited to) AWS, Azure, GCP
  • Relevant certification of scripting and programming languages, for example (but not limited to) Bash, Python, Ruby

Additional Information:

Job Posted:
February 19, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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