Data Engineer to AFRY X in Malmö
Company Description
Welcome to AFRY X, a part of AFRY, and a digital leader and powerhouse in the industrial Internet of Things, Artificial Intelligence, design and cyber security. The urgent need for sustainable transition in society is paving the way for rapid digital-driven change. As digital technologies reshape all industries, the implications for businesses are broad, and so are the opportunities to make an impact. In AFRY X we have brought together our leading digital expertise and key digital technologies in one place to help clients to accelerate their digital transition.
Job Description
We are looking for an experienced Data Engineer that loves to grow and innovate tomorrows solutions to strengthen our capabilities in Machine Learning. You’ll be part of a small team where the full lifecycle of the Machine Learning integration is considered, from data analysis to deployment and scaling. The team will deliver end-to-end solutions and help out at certain steps along the development. This means that all tasks ranging from data collection, analysis, cleaning, and pre-processing, to training models and deploying, to production will be worked upon.
As a Data Engineer you focus on:
- Understanding business objectives and developing models that help us achieve them, along with metrics to track their progress
- Finding, suggesting and implementing the best ML algorithm based on the project goals
- Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
- Verifying data quality, and/or ensuring it via data cleaning
- Defining the preprocessing or feature engineering to be done on a given dataset
- Defining data augmentation pipelines
- Analyzing the errors of the model and designing strategies to overcome them
- Deploying models to production
We value your personality and mindset, as well as previous work experience. We see that you have documented knowledge in Data Engineering through work & education.
Qualifications
- Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture
- In-depth knowledge of mathematics, statistics, and algorithms
- Expertise in visualizing and manipulating big datasets
- Strong analytical and problem-solving abilities
- We require that you are fluent in verbal and written English, Swedish is a merit
You should also be strong in:
- Cloud development (Azure, GCP or AWS)
- Python and Java (or C#/Scala/Kotlin)
We expect that you have a solution-oriented attitude and enjoy working in an ever-changing environment, that you like interacting with people and working on group projects. You should have a genuine interest in new technology and exploring new things, learning comes natural to you. And of course, we believe that you have a strong interest in digitalization!
