ML Data Software Engineer

We are looking for a very experienced ML Data Software Engineer for an exciting assignment in Malmö.  

In this role you'll be responsible for building machine learning based systems and conduct data analysis that improves the quality of data. You’ll be developing NLP models to extract information, using outlier detection to identifying anomalies and applying data science methods to quantify the quality of our data. You will take part in the development, integration, production 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 

Must-have Qualifications 

Able to wear multiple hats, do what it takes ability and attitude 

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 with frameworks such as Sklearn, Numpy, Pandas 

Excellent analytical and problem solving skills 

Excellent oral and written communication skills  

Extra Merit Qualifications 

Experience using deep learning libraries and platforms, such as PyTorch, Tensorflow, Keras 

Knowledge in at least one of the following: NLP, information retrieval, data mining 

Ability to do statistical modeling and building predictive models  

 Other Details

• Start date: ASAP

• Duration: Long-term project (12 months contract + extension)

• Location: Malmö (5 days onsite weekly)