Machine Learning Engineer, AFRY X Malmö
Malmö, Sweden
AFRY
AFRY is a European leader in engineering, design, and advisory services, with a global reach. We accelerate the transition towards a sustainable society.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
In this role, you'll be responsible for building machine learning-based systems and conduct data analysis that improves the quality of our large geospatial data. You’ll be developing NLP models to extract information, using outlier detection to identify anomalies and applying data science methods to quantify the quality of our data. You will participate in the development, integration, productionisation and deployment of the models at scale, which would require a good combination of data science and software development.
Responsibilities
- Development of machine learning models
- Building and maintaining software development solutions
- Provide insights by applying data science methods
- Take ownership of delivering features and improvements on time
Qualifications
- Strong programming skills and extensive experience with Python, Scala and/or Java
- Professional experience working with machine learning and data science, such as classification, feature engineering, clustering, anomaly detection and neural networks
- 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
- Experience with frameworks such as Sklearn, Numpy, Pandas
Additional Information
- Start date: As soon as possible, your notice period considered
- Work extent: Full-time
- Location: Malmö, Sweden
Contact:
Per Svensson
Section Manager AFRY, IT Solutions south
per.t.svensson@afry.com
Stina Haugland
Recruitment Partner
stina.haugland@afry.com
AFRY is committed to creating an inclusive & diverse environment and we are actively looking for qualified candidates irrespective of gender, gender identity, sexual orientation, ethnicity, religion, disability, or age. You will be part of a global and diverse company where our differences are our strengths. Join us to accelerate the transition towards a sustainable society.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Classification Clustering Data analysis Deep Learning Engineering Feature engineering Industrial Java Keras Machine Learning ML models NLP NumPy Pandas Python PyTorch Scala Scikit-learn Security TensorFlow
Perks/benefits: Career development Startup environment
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