Machine Learning Engineer - EU citizen to realocate to Malm Sweden
Machine Learning Engineer - EU citizen to realocate to Malm Sweden
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Job Description
Boost IT is looking for a Machine Learning Engineer to design develop and deploy cuttingedge ML models that drive innovation and solve realworld problems. If you have strong expertise in ML algorithms data pipelines and scalable systems and youre excited about working with large datasets wed love to hear from you!
Location: Malm 5 days onsite)
Contract: B2B (Contractor)
Tasks
In this role youll be responsible for building machine learning based systems and conduct data analysis that improves the quality of our Find My features. Youll be developing timeseries 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 hardening and deployment of the models at scale which would require a good combination of data science and software engineering.
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
Requirements
- Able to wear multiple hats do what it takes ability and attitude
- Strong programming skills and extensive experience with Python
- Professional experience working with machine learning and data science such as classification feature engineering clustering anomaly detection and neural networks
- Fine tuning and iterating on models
- 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
- Excellent analytical and problem solving skills
- Excellent oral and written communication skills
Extra Merit Qualifications
- Knowledge in at least one of the following: time series analysis data mining
- Ability to do statistical modeling and building predictive models
Employment Type
Full Time
