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You will be updated with latest job alerts via emailAre you passionate about Machine Learning Do you know your way around data
In this role youll be responsible for building machine learning based systems and conduct data analysis that improves the quality of our large geospatial data. Youll 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 productionisation and deployment of the models at scale which would require a good combination of data science and software development.
We offer a hybrid working model with an expectation to be onsite at the office three days per week.
Qualifications :
To succeed in this role you need to be a problem solver who enjoys tackling complex challenges. You should have strong programming skills in Python Scala or Java along with handson experience in machine learning and data science including classification feature engineering clustering anomaly detection and neural networks. A solid understanding of classic ML algorithms such as SVM Random Forest Nave Bayes and KNN is essential. Experience with deep learning libraries like PyTorch TensorFlow or Keras as well as familiarity with data science frameworks such as Scikitlearn NumPy and Pandas will be highly valuable. Strong communication skills both written and verbal are also crucial.
Its a bonus if you have experience in NLP information retrieval or data mining as well as skills in statistical modeling and predictive analytics. Most importantly we are looking for someone who has a solutionoriented mindset enjoys working in a fastpaced and collaborative environment and is always eager to explore new technologies. If you are passionate about digitalization and innovation we would love to hear from you.
Additional Information :
AFRY is ranked as one of Swedens most popular employers. We are courageous and dedicated team players who constantly strive to possess the markets sharpest skills. We also know that employees who feel good both physically and mentally are the most important success factor. Therefore we focus on a safe working environment and a balance between work and leisure.
At AFRY you will also enjoy:
Welcome to submit your application the deadline is .
Contact person for questions:
MaxHansen Section Manager
Read more about the recruitment process at AFRY here: https://afry/en/joinus/jobapplicationguide
We kindly ask not to be contacted by staffing and recruitment agencies or salespeople offering additional job advertisements.
At AFRY we engineer change in everything we do. Change happens when brave ideas come together. When we collaborate innovate technology and embrace challenging points of view. Thats how were making future. We are actively looking for qualified candidates to join our inclusive and diverse teams across the globe. Join us in accelerating the transition towards a sustainable future.
Remote Work :
No
Employment Type :
Fulltime
Full-time