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Kyndryl

Machine Learning Ops Engineer

Kyndryl

Machine Learning Ops Engineer developing and implementing software solutions for AI services at Kyndryl. This role involves end-to-end development from model creation to production deployment.

Posted 5/18/2026full-timeTurin • 🇮🇹 ItalyJuniorMid-LevelWebsite

Tech Stack

Tools & technologies
DockerLinuxPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact
  • Be at the forefront of designing, developing, and implementing software solutions
  • Responsible for implementing identified components based on design documentation
  • Ensure implemented components are documented, unit-tested, and integration-ready
  • Architect solutions, test code, and build CI/CD pipelines
  • Provide work estimates for development tasks and guide relevant features and technologies
  • Manage the end-to-end development of AI services and ensure best practices in MLOps/DevOps

Requirements

What you’ll need
  • Diploma or degree in Computer Science, Computer Engineering or related disciplines
  • 2+ years of programming experience in Python
  • Experience in using one or more Machine Learning and Deep Learning libraries (PyTorch, Tensorflow, scikit-learn) for creating or training models
  • Good knowledge of supervised and unsupervised learning algorithms
  • Good knowledge of the Linux environment
  • Good knowledge of DevOps practices and tools, in particular Docker
  • Excellent knowledge of CI/CD best practices
  • Excellent analytical and problem solving skills
  • Propensity for teamwork and research
  • Good knowledge of English (B2 or above)

Benefits

Comp & perks
  • Health insurance
  • Flexible working arrangements
  • Professional development opportunities
  • Paid time off
  • Employee referral program

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
PythonMachine LearningDeep LearningPyTorchTensorFlowscikit-learnsupervised learningunsupervised learningLinuxDevOps
Soft Skills
analytical skillsproblem solvingteamworkresearch
Certifications
Diploma in Computer ScienceDegree in Computer Engineering