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    Senior Machine Learning Engineer - Stockholm, Sverige - Soltia

    Soltia
    Soltia Stockholm, Sverige

    för 1 vecka sedan

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    Beskrivning

    Job description

    The primary tasks for a Machine Learning Engineer in MLE area are:

    • Develop AI/ML software products including but not limited to explore large data set try out new algorithms feature engineering test and evaluate model output deploy the solution for production usageandscale out to the comprehensive fashion network of the company
    • Design develop and maintain the largescale data infrastructure required for the AI/ML projects.
    • Leverage on understanding of software architecture and software design patterns to write scalable maintainable welldesigned and futureproof code.
    • Develop solutions components services and frameworks to address common needs in AI/ML projects like feature reuse model traceability A/B test etc.
    • Work in crossfunctional agile team of highly skilled engineers data scientists business stakeholders to build the AI ecosystem within the company.

    Required skills and experiences:

    • Have a BSc or MSc degree in computer science engineering or a related field or equivalent practical experience.
    • Have 4 years of professional experience working in a relevant role(s) for a Machine Learning Engineer.
    • A handson person who loves coding and like applying software engineering practices to machine learning projects.
    • Have experience in developing software products that have been successfully deployed to production.
    • Have several years of coding experience in modern programming languages and a strong background in Python programming i.e. 3 years.
    • Have great experience with cloud technologies for ML development preferably Google Cloud and also Vertex AI.
    • Have solid experience in MLOps practices developing ML pipelines and deploying ML applications to production.
    • Have a strong working knowledge of a variety of AI/ML techniques and experience working with different frameworks.
    • Have experience handling highvolume heterogeneous data (both batch and stream) and a solid understanding of data structures databases and data storage technologies.
    • Familiar with agile ways of working team collaboration datadriven development and reliable and responsible experimentation.

    Required cloud certification: GCP Profes

    Remote Work :

    No

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