This position is no longer open for applications

Job duties as Machine Learning Engineer

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

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 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.