Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли понятный senior-уровень и полный цикл ML-разработки, но формат аутсорсинга и обязательный переезд в Швецию добавляют неопределённости и требуют серьёзных обязательств.
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?Работа на клиента
Актуальный ML-стек
Полный цикл разработки
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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