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  • All offersWarszawaDevOpsSenior ML-MLOps Engineer
    Senior ML-MLOps Engineer
    DevOps
    Altimetrik Poland

    Senior ML-MLOps Engineer

    Altimetrik Poland
    Warszawa
    Type of work
    Full-time
    Experience
    Senior
    Employment Type
    B2B
    Operating mode
    Remote

    Tech stack

      AWS

      advanced

      Docker

      advanced

      English

      advanced

      Kubernetes

      advanced

      kubeflow

      advanced

      ML/AI model development

      advanced

      CI/CD

      regular

      Bash

      regular

      Python

      regular

    Job description

    Online interview

    Altimetrik Poland is a digital enablement company. We deliver bite-size outcomes, in an agile way, to both enterprises and startups coming from all industries, to help them scale and accelerate their businesses. We are unique in Poland's IT market. Our differentiators are an innovation-first approach, a big focus on core development, attacking challenging and complex problems of the biggest companies in the world.


    We are looking for passionate Senior MLOps Engineers who join our team working for one of our clients – a global pharmaceutical company.



    Your role in the project:

    • Build and deploy machine learning solutions into production
    • Creating microservices for task-specific AI cloud services
    • Implement solutions for monitoring model performance and triggering alerts.
    • Design and implement infrastructure for machine learning cloud services
    • Develop ML flow automation scripts
    • Research modern MLOps tools, frameworks and platforms
    • Work on a backlog of activities to raise MLOps maturity in the organization.
    • Proactively introduce a modern, agile and automated approach to Data Science.
    • Conduct internal training and presentations about the benefits and usage of MLOps tools.


    If you possess...

    • 8+ years of experience as a MLOps Engineer or in similar role
    • Bachelor's or higher degree in Computer Science, Engineering, or related field
    • Good understanding of ML and AI concepts. Hands-on experience in ML/AI model development.
    • Hands-on experience with containerization (using Kubernetes, Docker)
    • Experience in operationalizing Data Science projects (MLOps) using at least one of the popular - frameworks or platforms (e.g. Kubeflow & AWS Sagemaker).
    • Proficiency in Python used both for ML and automation tasks.
    • Good knowledge of Bash and Unix command line toolkit.
    • Experience in CI/CD/CT pipelines for ML solutions.
    • Experience with AWS

    Nice to have:

    • Certification in relevant techniques (e.g. AWS Certified Machine Learning Specialty)



    … then we are looking for you!


    We work 100% remotely or from our hub in Wrocław.

    🔥We grow fast.

    🤓We learn a lot.

    🤹We prefer to do things instead of just talking about them.


    If you like to work in an environment that values trust and empowerment... don't hesitate, just apply!