Machine Learning Engineer, Solna
PostNord Group AB / Datajobb / Stockholm
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hela Sverige Visa alla jobb hos PostNord Group AB i Stockholm,
Solna,
Lidingö,
Sundbyberg,
Danderyd eller i
hela Sverige We seek to strengthen our position and increase the speed of our digital transformation, and we are looking for a talented Machine Learning Engineer with a keen interest in algorithms and machine learning? Do you want to be part of our digital transformation journey in our forecasting team? Then you should apply for this position!
Join us
The Advanced Analytics & Automation team is responsible for establishing the future IT landscape that will be the foundation for our data driven journey.
PostNord is the leader of logistics and postal services in the Nordics and as a part of the IT organisation. We support a variety of different PostNord stakeholders in a multitude of areas using our Azure-based Data Platform as our base.
It is our goal to create scalable solutions to support the development of valuable data solutions and address a broad range of use cases from logistics operations, self-service reporting and advanced analytics for companywide innovation and transformation initiatives. Our technology is focused on the Azure stack, and includes Azure Auto ML, Azure ML Ops, Azure DevOps CI/CD, Power BI etc. We prefer to use Agile, and our unit applies a pragmatic approach to SAFe to resolve dependencies and set the pace for development, but we choose the appropriate approach for the product and team.
Job duties
The current team delivery consists of developing, running, and monitoring time series-based volume forecasting, based on our vast amounts of historical data on logistics operations in the Nordics. Team members consist of data engineers, data scientists, product owner and scrum master and as a Machine Learning Engineer you complement the team with a strong background in developing and deploying machine learning models that can operate at scale.
- You will build and deploy machine learning models. You will be running tests, performing statistical analysis and help the team interpret the test results.
- You will be responsible for building and optimizing the infrastructure needed for training and deploying models.
- Collaborate and interact with the existing development team as well as stakeholders to design and define the competencies, processes, models and technology needed to meet business requirements and architectural strategy.
We are looking for you who have
To fit in the Machine Learning Engineer role, you have been working with software development for several years. It is important that you like to remain hands on and enjoy working on complex and challenging solutions. You are familiar with implementation of machine learning models and have an interest in understanding of the underlying mathematics, as well as the data- and computer science/programming skills needed to develop and deploy the forecasting models.
As a person you are curious to learn and evolve your skill set in accordance with the state-of-the-art pace in the domain that you work in. You have realised that modern software production resembles industrial production in the sense that it requires a scalable approach to QA and deployment, and you are also humble for the fact that creating and maintaining great solutions at scale is a team effort and not an initiative of a few superheroes.
Requirements:
- Experience in developing and testing ML algorithms to analyze huge volumes of historical data to make predictions.
- Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
- Experience in designing, deploying and monitoring ML model in production.
- Experience from development work in a team setting, contributing to architectural discussions and processes.
- 2-5 years' experience of software development in an algorithm heavy domain.
- Cloud literacy - PostNord's data platform is developed in Azure.
- Communicates in English both written and speech.
Meritorious competences as Machine Learning Engineer
- Interest and background in A/B-testing.
- Experience of MLOps and enterprise scale software engineering.
- Experience working with an offshore team.
- Python skills will be considered meriting.
We offer you
We offer you a flexible hybrid workplace with a prestige-free environment where we as a team help each other to reach our goals. We encourage self-sufficient leadership for development and career opportunities. In addition to the benefits mentioned above, we offer:
- Work in a Nordic and flexible environment.
- Good insurance and occupational pension conditions
- Wellness allowance & access to office gym and swimming pool
- Employee benefits through PostNord's own employee foundation
https://www.postnord.com/careers/postnord-plus - Employment according to a collective agreement.
We make everyday life easier
PostNord is the leading supplier of communication and logistics solutions to, from, and within the Nordic region. We ensure the provision of a postal service to households and businesses in Sweden and Denmark. We aim to make everyday life easier and more sustainable for everyone who lives and works in the Nordic region.
We are accountable, brave and committed, effectively leading change regardless if we lead our self or others. We emphasize teamwork, sincerity and positive relationships in the workplace. We build on our success and learn from both colleagues and mistakes. People with different backgrounds work with us. You will therefore be part of a workplace with great diversity, which contributes to better results for the business. Visit us at
http://www.postnord.comApply
https://www.experis.se/sv/jobb/a0d13290-f795-4532-b9f5-5b5dd6c697de/machine-learning-engineer-within-analytics-postnordWe look forward to receive your application! If you have any questions or concerns, you are welcome to contact Salle Nilsson on
salle.nilsson@se.experis.com For union representatives, visit:
https://www.postnord.com/sv/karriar/kontakt/facklig-kontaktWe are looking forward to hear from you!
Ersättning Monthly salary
Så ansöker du Sista dag att ansöka är 2023-05-05
Klicka på denna länk för att göra din ansökan Arbetsgivarens referens Arbetsgivarens referens för detta jobb är "2023/917".
Omfattning Detta är ett heltidsjobb.
Arbetsgivare PostNord Group AB (org.nr 556128-6559)
Arbetsplats PostNord Group
Kontakt Salle Nilsson
salle.nilsson@se.experis.com Jobbnummer 7630420
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