ML Data Software Engineer

Found in: Talent SE C2 - 1 week ago

Malmö Metropolitan Area, Sweden emagine Consulting Full time

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

Start: ASAP

Duration: Long term assignment, which starts with 6 months contract and has an option of extension several times.

Location: Malmö, hybrid set-up, 3 days onsite on weekly basis, candidates must be located in Malmö area.

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

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