DevOps Engineer with ML experience (MLOps),
Remote Poland


Remote Poland

Office Address

Project Description

DXC is a leading independent IT service provider. In the field of AI and Machine Learning, DXC is recognized as a strong partner for the whole machine learning lifecycle.Projects in the field of MLOps cover three big domains: Consulting, platform development and operationalization of machine learning models at scale.


    • Participate in requirements gathering, technical specification, and the design and development of complex operationalizing machine learning projects
    • Contribute to architecture design, development of data or machine learning pipelines, and integration into enterprise systems
    • Build and configure multi-tenant machine learning environments on-prem, cloud or hybrid
    • Build, test and optimize Machine Learning models
    • Interact with teams of engineers from multiple disciplines


Must have

    • Bachelor or Master's degree in computer science, natural sciences, mathematics or equivalent qualification
    • At least one year of professional experience in a similar position or as software developer
    • Advanced Experience in Python and ML
    • Experience with at least one CI/CD tool, e.g. Jenkins, Github actions, or cloud equivalents
    • Experience in application containerization and orchestration tools - Docker, Kubernetes, or cloud equivalents
    • Experience with Pipeline Tools, e.g. Kubeflow, Airflow, or cloud equivalents
    • Experience with Model Repositories, e.g. mlflow, modelDB, or cloud equivalents
    • Experience with logging and monitoring, e.g. Prometheus, Grafana, or cloud equivalents

Nice to have

    • Able to communicate and present internally and externally in a confident manner
    • Highly motivated team player, proven ability to lead teams
    • Languages: English (fluent)
    • Experience with Data Versioning, e.g. dvc, pachyderm, or cloud equivalents
    • Experience with ML computing on cloud platforms - preferably Azure or AWS
    • Experience with deployment automation, e.g. Helm, Ansible, Terraform
    • Basic understanding, background in platform administration: Understanding of Linux, SSH keys setup, experience in Linux packages installation


English: C1 Advanced



Relocation package

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Work Type

BigData Development

Ref Number


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