Machine Learning Engineer / AI Developer
Mekonomen Company AB / Datajobb / Stockholm
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hela Sverige The advanced analytics team, which operates as part of business development, is looking for a Machine Learning Engineer / AI Developer to strengthen its ranks. This broad and exciting role will be at the center of our AI and digitalization efforts.
As a member of the advanced analytics team, you will be working in an ambitious, self-governing, and operational team where there is ample opportunity to learn and grow. We work actively with mentoring and feedback!
The team works in a context where business, technology and mathematics intersect, and is leveraging a wide range of technologies and tooling to bring insights and new data-driven abilities to life. As a Machine Learning Engineer / AI Developer, you will be working with extending and supporting our platform to drive further value. The right candidate has a strong desire to work broadly with tech and AI and is not afraid to test new things. In this role the right candidate will have a fantastic opportunity to broaden their skillsets.
For this role we will consider both experienced and junior candidates.
High level description:
- Work operationally with your colleagues in the analytics team to build new AI and data-driven products and use cases in a broad sense: everything from front end, back end, DevOps, infrastructure, MLOps, modelling and data. We do not expect you to know all these topics, but you should be willing to approach and learn them with our support.
- Work together with business stakeholders across the groups' various companies in Sweden, Norway, Denmark, and Poland.
- Collaborate with data engineers in the group data team to ensure that we get access to high quality data.
You:
- Can-do mentality - eager to learn and try new technical things. This is especially important since the role is very broad: we do not expect you to be an expert of everything (nor know it from the get-go), but you should be willing to try new technologies and learn!
- Technical degree of some kind within fields such as mathematics, computer science, engineering, or the natural sciences
- Interest in full-stack software development, machine learning, distributed systems and building scalable and robust data driven products
- Willing to collaborate and both give and receive constructive feedback
- Solid programming experience in a major language, e.g., Python, JS, Java, or similar
- Working knowledge of databases and able to write SQL
- Comfortable with using version control
- Able to communicate well in English
We expect you to:
- Help build products with a full-stack focus using Python, Node, React, Spark, Snowflake, MongoDB, dbt and more depending on profile - what you do not know, we will teach you
- Help set up and manage infrastructure with Docker, Kubernetes and Terraform
- Help build reproducible analytic pipelines using Airflow, Databricks and MLflow
- Integrate analytic capabilities with other digital products run and developed by the group
- Be serious about delivering high quality code
Nice to have:
- Experience with web development
- Experience with CI/CD
- Experience with agile ways of working
- Linux experience is always a plus
We offer:
- Opportunity to learn and apply a very broad range of skills across front end, back end, databases, distributed computing, infrastructure and MLOps
- Possibility to shape your role focus according to interest and skillset
- A culture of mentoring and constructive feedback through pair programming, code reviews and whiteboarding
- A friendly team with high-performing, fun and skilled colleagues to support you in your professional journey
Contact hiring manager Mikael Fors (
mikael.fors@mekonomengroup.com) if you have additional questions.
If this sounds interesting, you are warmly welcome with your application. Applications and selections will be handled on an ongoing basis, with any employment possible before the advertising period has expired.
Personality is important to us! Therefore, we ask everyone who is applying for a job with us to answer a short personality test. This gives us the opportunity to get a more objective picture of you as a person and will be used as part of the decision basis in the selection. The link to the test will be sent out in a separate email the day after you submit your application and we would ask you to respond to the test as soon as you can.
Personal data management
Mekonomen Services AB org.nr. 556840-9428, is the data controller for the processing of your personal data in connection with this recruitment. Read our policy on how we process your personal data:
https://www.mekonomen.com/site...Looking forward to your application!
Vi möjliggör mobilitet - idag, i morgon och i framtiden.
Vi är en internationell koncern som driver och utvecklar affärer på fordonseftermarknaden. Vi fokuserar på tillväxt, samverkan, synergiutvinning och på att driva en hållbar och digital utveckling i vår bransch. Vår affärsidé är tidlös och bygger på att möjliggöra mobilitet - idag, i morgon och i framtiden, i takt med att tekniken utvecklas och fordon används på nya sätt. Vi tillgodoser behovet av tjänster och produkter till fordonsverkstäder och andra företag genom våra marknadsledande koncept, distributionsnätverk och vår effektiva logistikkedja. Våra koncept riktar sig även till privata och kommersiella fordonsägare där vi tillgodoser behovet av service och reparation av fordon.
Mekonomen Group består av norra Europas ledande bilservicekedjor; FTZ, Inter-Team, MECA, Mekonomen och Sørensen og Balchen. Vi har egen grossistverksamhet, över 470 butiker och över 3 600 verkstäder som verkar under koncernens varumärken.
Varaktighet, arbetstid
Heltid Tillsvidare
Publiceringsdatum2022-05-24ErsättningFast månads- vecko- eller timlön
Så ansöker duSista dag att ansöka är 2022-06-26
Klicka på denna länk för att göra din ansökanFöretagMekonomen Company AB
Omfattning Detta är ett heltidsjobb.
Arbetsgivare Mekonomen Company AB (org.nr 556724-9254),
https://www.mekonomen.com/ Arbetsplats Mekonomen Group AB
Jobbnummer 6679321
Observera att sista ansökningsdag har passerat.