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Machine Learning Engineer

  • Wrocław, dolnośląskie pokaż mapę
  • Specjalista
  • 20.01.2019

    Pracodawca ma prawo zakończyć rekrutację we wcześniejszym terminie.

    QIAGEN is one of the world’s leading biotechnology companies. With our sample to insight solutions that unlock valuable molecular information from biological samples, QIAGEN helps to improve healthcare and safeguard our societies, enables the development of new medicines and paves the way for scientific breakthroughs.

    Join the revolution – and see how you can make a difference!

    Machine Learning Engineer

    Job ID #: 9899

    Functional Area: eCommerce/ Digital Accelerator                     Location: Wroclaw (Breslau), Poland

    Duration: unlimited                                                                     Employment Type: Regular Full-Time


    Position Description

    QIAGEN is one of the most successful biotech companies. As the leading provider of innovative purification technologies, molecular testing solutions, and smart bioinformatics we empower our customers to be at the forefront of the molecular biology revolution and advancing patient health.  
    The mission of QIAGEN’s Digital Accelerator is to drive the digital transformation of all business units within the company. As a machine learning engineer you are key in monetizing the value of internal and external data available at QIAGEN.

    Your responsibility will be:
    • Leverage QIAGEN data by designing, developing, optimizing, and maintaining machine learning models.
    • Design and develop algorithms.
    • Identify untapped data potential by data mining and data visualization.
    • Work closely with QIAGEN data engineers and data scientist to develop and maintain data driven solutions for structured and unstructured big data.
    • Support global business teams to leverage data potential within and across business units.

    Position Requirements

    • University degree in computer sciences, natural science, mathematics or similar.
    • Experience with supervised and unsupervised machine learning.
    • Experience with data mining, feature selection.
    • Expertise in one of the following programming languages: python, scala, R.
    • Expertise in a common machine learning framework (scikit-learn, spark mllib, caret).
    • High confidence in handling structured and unstructured data.
    • Conceptual knowledge of distributed and non-distributed data processes.
    • Conceptional understanding of distributed machine learning in the cloud.
    • Experience in working with a cloud infrastructure is a plus.
    • Strong communication skills in English.

    Personal Requirements 

    • High motivation to work with state-of-the-art technologies and interest to stay up-to-date.
    • Motivation to “get things done”.
    • High interest in business and customer needs.

    We Offer

    • Possibility to develop in an international company.
    • Attractive office location in Sky Tower.
    • Attractive benefits package.
    • Language classes.
    • Private medical care.
    • Group Life Insurance.
    • Friendly atmosphere.
    • Happy Monday :)
    If this interdisciplinary challenge appeals to you, you can expect a highly motivated team that is looking forward to your support! Please apply online, quoting the reference number, with your complete application documents as well as your earliest starting date and salary expectations.
    We look forward to hearing from you!
    QIAGEN Business Services Sp.z.o.o. | Human Resources | ul. Powstańców Śląskich 95 | Sky Tower | 53-332 Wrocław | Poland