Machine Learning Engineer

emagine

Sweden · Contract · Entry

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 identify 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.

Key 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.

Key Requirements

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.

Nice To Have 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.

Start date: ASAP

Duration: Long-term project (9 months contract + extension)

Location: Malmö (5 days onsite) + a number of evening meetings

Key Skills

Ranked by relevance

machine learning deep learning data analysis tensorflow pytorch python scala numpy

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