Machine Learning Engineer
Telenor Sverige AB / Datajobb / Solna
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hela Sverige Who we are
We're here to connect you to what matters most, and by doing so, empowering societies. As a Telenor employee, you will be part of a large, international organisation that goes beyond customers - we want to play a meaningful role in the societies we serve. Being connected can change your life, and we're serious about helping our services make the widest possible impact.
We are looking for a Machine Learning Engineer to join our Data Science & Machine Learning team in Sweden. If you have a desire to work with Big Data, Machine Learning and DevOps, and ready to work on challenging data problems across AWS platforms, please continue reading.
What you'll do
Are you passionate about cloud services and data science? You are an experienced data engineer who is eager to refactor infrastructure to improve scalability and cost efficiency, genuinely interested in technology trends and applying them in practice and believe in possibilities of data and analytics. You are interested in more than just data pipelines, but want to work together with Data Scientists and have an impact on the customer experience.
Moving to a cloud architecture enables us to integrate with a vast ecosystem of tools & platforms. At the same time, we need to embrace this flexibility with care as tools need to serve a specific purpose in an end to end machine learning and waste should be avoided at all cost. As a key decision maker in this architecture, you will not only implement, but also design a decision support system that enables our data scientists to create machine learning models that truly have an impact on our customer experience. You will have the opportunity to get guidance and support from our experts in the data platform team, who have developed our data lake infrastructure.
Who are you
You have strong understanding of data lake concepts, experience in building data pipeline architecture, Machine Learning at scale, scalable microservices and API based integration. You have experience from the software industry, and you enjoy mentoring and guiding new team members to learn and implement new technologies. If you have worked with Talend, Spark, Airflow, Sagemaker, CI/CD for Machine Learning, Kafka, AWS and advanced analytics tools, we will appreciate you even more!
Our Promise
A balanced workforce is a key to our success. To secure that, we're committed to fostering a working environment where our employees are supported and empowered in all areas of their work. We promise you a company eager to learn and rapidly adapt to a digital world where you will be welcomed into a skilled team of professional and knowledgeable colleagues. In addition, you will get:
* A flexible way of work - have a lunch workout without having to rush back, be able to leave/pick up the kids from school? This is no problem if you make sure your team is happy and you perform and deliver your work.
* A generous health and benefits package with for example wellness grant, health insurance, "give me a break"-days, occupational pension and much more.
* Development programs to deepen your knowledge and broaden the competence.
Come join us now
If you would like to know more, please contact Amin Pournorouz (
aminreza.pournorouz@telenor.se). Please apply by following the "apply" link in the ad. We do not evaluate CVs sent directly to us on email.
Headhunting and consultancy firms are humbly prompted not to respond to this job ad!
Good to know
* According to Telenor's policy, we conduct background checks on the final candidate for all recruitments
* Application deadline: We evaluate candidates continuously so please apply today
* Location: Stockholm
Varaktighet, arbetstid
FULLTIME PERMANENT
Publiceringsdatum2020-02-18ErsättningSALARY
Så ansöker duSista dag att ansöka är 2020-04-05
Klicka på denna länk för att göra din ansökanFöretagTelenor Sverige AB
Arbetsgivarens referens Arbetsgivarens referens för detta jobb är "J084508".
Omfattning Detta är ett heltidsjobb.
Arbetsgivare Telenor Sverige AB (org.nr 556421-0309)
Jobbnummer 5105371
Observera att sista ansökningsdag har passerat.