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4 дня назад

Machine Learning Engineer

5 462 - 7 200SEK
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Sweden
Релокация
Sweden
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Machine Learning Engineer (Python/ML/NLP): Developing and deploying classical machine learning, NLP, and LLM solutions for improving the quality, accuracy, and reliability of large-scale geospatial datasets with an accent on information extraction, anomaly detection, and data validation. Focus on building scalable production systems, designing agent-based workflows, and taking models from experimentation through large-scale deployment.

Location: Hybrid in Malmö, Sweden, with 3 days per week in the office. Commuting is possible for the first 3 months; relocation to Sweden is required afterwards.

Salary: 5,462–7,200 SEK per day on B2B.

Company

hirify.global is a Polish IT services company with over 770 experts, delivering specialized technology projects for clients worldwide.

What you will do

  • Design, develop, and deploy machine learning models for large-scale geospatial datasets.
  • Build scalable data and software solutions across the full ML lifecycle, from experimentation to production deployment.
  • Develop ML and NLP solutions for information extraction, anomaly detection, data validation, and quality improvement.
  • Work with LLMs, prompt engineering, and agent-based workflows.
  • Analyze datasets, generate insights, and apply data science techniques to improve data quality.
  • Integrate machine learning models into production systems while collaborating with cross-functional engineering and product teams.

Requirements

  • Strong programming skills and extensive hands-on experience with Python.
  • Proven machine learning and data science experience, including classification, clustering, feature engineering, anomaly detection, and neural networks.
  • Practical experience with LLMs, prompt engineering, and agent-based workflows.
  • Solid understanding of classical ML algorithms, including SVM, Random Forest, Naive Bayes, and k-NN.
  • Experience with PyTorch, TensorFlow, Keras, Scikit-learn, NumPy, and Pandas.
  • Strong analytical thinking, problem-solving skills, and the ability to balance innovative approaches with practical implementation in existing systems.
  • Excellent written and verbal communication skills.
  • Proactive, ownership-driven mindset and ability to adapt in a fast-paced environment.

Nice to have

  • Experience with Scala or Java.
  • Knowledge of NLP, Information Retrieval, or Data Mining.
  • Experience in statistical modelling and building predictive models.

Culture & Benefits

  • Hybrid work with regular collaboration in the Malmö office.
  • Opportunity to work on globally used developer platforms and large-scale mapping and location-based technologies.
  • Collaboration with international, cross-functional engineering and product teams.
  • Developmental projects, a broad benefits package, and a proprietary professional development programme.
  • hirify.global supports charitable and educational initiatives, including workshops, internships, and equipment donations.

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