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Abu Dhabi

    Lead Engineer- MLOps - Abu Dhabi, United Arab Emirates - Core42

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    Description
    • Minimum of 3 years experience insetting up and maintaining CI/CD pipelines, preferably in a machinelearning context.
    • Strong understanding ofcontainerization and orchestration tools such as Docker andKubernetes.
    • Familiarity with machine learningframeworks like TensorFlow, PyTorch, orScikit-learn.
    • Proficient in scripting languagessuch as Python, Bash, or Shell for automation tasks.

    Ideally,you'll also need

    • ML Training datalifecycle.
    • Data storage and management engines:NoSQL databases; Search engines e.g. Elasticsearch, SQL databases;Timeseries databases.
    • Knowledge of distributedcomputer systems and web softwaredevelopment
    • Outstanding communication andpresentation skills


  • Core42 Abu Dhabi, United Arab Emirates

    Minimum of 3 years experience in setting up and maintaining CI/CD pipelines, preferably in a machine learning context. · Strong understanding of containerization and orchestration tools such as Docker and Kubernetes. · Familiarity with machine learning frameworks like TensorFlow, ...

  • Core42

    Engineer - ML Ops

    2 days ago


    Core42 Abu Dhabi, United Arab Emirates

    Design, implement, and manage CI/CD pipelines tailored for machine learning workflows. · Ensure that machine learning models are properly versioned and deployed into production, staging, or testing environments automatically. · Collaborate with data scientists and software engine ...

  • Core42

    Engineer - ML Ops

    2 days ago


    Core42 Abu Dhabi, United Arab Emirates

    Design, implement, and manageCI/CD pipelines tailored for machine learningworkflows. · Ensure that machine learning modelsare properly versioned and deployed into production, staging, ortesting environments automatically. · Collaboratewith data scientists and software engineers t ...


  • G42 Abu Dhabi, United Arab Emirates

    Collaboration:Work with product managers and business owners to understand requirements. · Data to ModelCreate data pipelines and preprocess data from diverse sources (text, imaging, genomics, HER, etc.) to make it ready for model training. Monitor data quality through the proces ...