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Machine Learning Engineer to Advanced Analytics & AI

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Machine Learning Engineer to Advanced Analytics & AI

  • Location

    Stockholm, Sweden

  • Sector:

    Cloud

  • Job type:

    Contract

  • Salary::

    700kr - 750kr per hour

  • Contact:

    Sheridan Williams

  • Contact email:

    sheridan.williams@claremontconsulting.com

  • High Salary:

    750

  • Low Salary:

    700

  • Reference:

    BBBH17506_1578395803

  • Job Published:

    9 months ago

  • Duration:

    6-12 Months

  • Expiry Date:

    2020-02-06

  • Startdate:

    ASAP

  • Consultant:

    #

My client a leading global brand is seeking a Senior Machine Learning Engineer to advanced Analytics & AI

As the Machine Learning Engineer, you will collaborate with Data Scientists and help them test and scale new algorithms through pilots and later industrialise solutions. Influence, build and maintain the large-scale data infrastructure required for my clients AI projects. You will also maintain the connection to UI and front-end developers. Lastly you will help drive optimisation, testing and tooling to improve data quality.

Key skills and experiences

* Detailed experience with Machine Learning experience (in advanced analytics environments)
* experienced in feature engineering and in prototyping machine learning applications that have been deployed to production
* Experience with working with high volume heterogeneous data, data storage and modelling techniques
* Experience from building large-scale data infrastructures, including, but not limited to, containerisation and cluster management / consolidation
* Agile environment.
* Experience with languages like Python, R on a daily basis
* Familiar with common machine learning toolboxes (Pandas, Scikit-learn).
* Practical Experience with big data and Spark; building, tuning and optimizing end-to-end pipelines in Spark



* Experience from deploying and maintaining Hadoop
* Experience in Devops (Familiarity with Git, Jenkins, Docker)
* Familiarity with ETL, data quality, database modeling and data warehousing principles