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Senior Machine Learning Engineer – 12235
Skicka ansökan 9 dagar kvar
Ingenjör Machine Learning Engineer
9 dagar kvar

Arbetsbeskrivning

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

Mer info

Anställningsform Vanlig anställning
Publicerad 2025-04-14
Lön Fast månads- vecko- eller timlön
Antal platser 1
Varaktighet Tillsvidare
Hemsida Länk

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