Machine Learning Engineer

Are you passionate about Machine Learning? Do you know your way around data?

At AFRY we are looking for a senior machine learning engineer that loves to grow and innovate tomorrows solutions to strengthen our capabilities in Machine Learning.

You’ll be part of a 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 ML Developer 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 Science through work & education.

We are looking for someone with a permanent residency in Sweden, preferably near Malmö as the work is on-site in Malmö.

• 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
• Great communication and collaboration skills
• We require that you are fluent in verbal and written English, Swedish is a merit.
• Strong programming skills and extensive experience with Python or Java/Scala
• Knowledgeable in classic machine learning algorithms (SVM, Random Forest, Naive Bayes, KNN etc). 
• Experience using deep learning libraries and platforms, such as PyTorch, Tensorflow, Keras
• Strong in either NLP or time series analysis

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! 

AFRY is ranked as one of Sweden's most popular employers. We are courageous and dedicated team players who constantly strive to possess the market's sharpest skills. We also know that employees who feel good, both physically and mentally, are the most important success factor. Therefore, we focus on a safe working environment and a balance between work and leisure.

At AFRY, you will also enjoy:

• A forward-thinking workplace with comprehensive benefits, including wellness allowances and parental leave supplements.
• Continuous learning opportunities and career development tailored to your goals.
• A vibrant work culture through Club AFRY, offering activities like cultural events, sports, and book clubs.

Welcome to submit your application, the deadline is 2024-11-30.

Contact person for questions:
Dick Max-Hansen, Section Manager
[email protected]

Read more about the recruitment process at AFRY here: https://afry.com/en/join-us/job-application-guide

We kindly ask not to be contacted by staffing and recruitment agencies or salespeople offering additional job advertisements.

At AFRY, we engineer change in everything we do. Change happens when brave ideas come together. When we collaborate, innovate technology, and embrace challenging points of view. That’s how we're making future. We are actively looking for qualified candidates to join our inclusive and diverse teams across the globe. Join us in accelerating the transition towards a sustainable future.