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Senior Machine Learning Engineer
Veritaz ABOkänd ort
Previous experience is desired
23 days left
to apply for the job
Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in securing the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.
Assignment Description:
We are looking for a Senior Machine Learning Engineer to join our dynamic team.
What you will work on:
- Develop and implement machine learning models to improve the quality of large geospatial data
- Build and maintain scalable software solutions for data processing and model deployment
- Apply data science techniques to extract meaningful insights and assess data quality
- Identify and address anomalies through outlier detection methods
- Continuously improve the performance and accuracy of machine learning models
- Collaborate with cross-functional teams to deliver features and improvements on time
What you bring:
- Strong programming skills and extensive experience in Python, Scala, and/or Java
- Professional experience in machine learning and data science, including classification, feature engineering, clustering, anomaly detection, and neural networks
- Proficiency with classic machine learning algorithms such as SVM, Random Forest, Naive Bayes, and KNN
- Experience with deep learning libraries and frameworks like PyTorch, TensorFlow, and Keras
- Strong familiarity with frameworks such as Sklearn, Numpy, and Pandas
- Excellent analytical, problem-solving, and critical thinking skills
- Exceptional communication skills, both oral and written, with the ability to explain complex concepts clearly and effectively
- Ability to take ownership and deliver results within deadlines
Extra Merit Qualifications:
- Knowledge of NLP, information retrieval, and data mining techniques
- Ability to perform statistical modeling and build predictive models
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