Senior Machine Learning Engineer

44k - 58k PLN43 991 - 57 989 PLN/ mies./ mies.B2BB2B (netto)

SeniorHybryda·MalmöPart-time·B2B

#474444·Dodano 6 dni temu·9

Źródło: justjoin.it

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Tech Stack / Keywords

Python Machine Learning NLP PyTorch TensorFlow Pandas NumPy Scala Java

Podsumowanie oferty

Develop machine learning solutions to improve the quality, accuracy, and reliability of large-scale geospatial datasets. Build and deploy ML and NLP models for information extraction, anomaly detection, and data validation, working across the ML lifecycle from experimentation to production.

Wymagania

Strong programming skills and extensive hands-on experience with Python.
Proven experience in Machine Learning and Data Science, including classification, clustering, feature engineering, anomaly detection, and neural networks.
Practical experience working with LLMs, including prompt engineering and agent-based workflows.
Solid understanding of classical ML algorithms, such as SVM, Random Forest, Naive Bayes, and k-NN.
Experience with PyTorch, TensorFlow, Keras, Scikit-learn, NumPy, and Pandas.
Strong analytical thinking and problem-solving skills.
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.

Obowiązki

Design, develop, and deploy machine learning models.
Build and maintain scalable data and software solutions.
Apply data science techniques to analyse datasets, generate insights, and improve data quality.
Develop ML and NLP solutions for information extraction, anomaly detection, and data validation.
Work with LLMs, including prompt engineering and agent-based workflows.
Take ownership of features and improvements throughout the development lifecycle, from experimentation to production deployment.
Collaborate with cross-functional teams to integrate machine learning models into production systems.

Inne informacje

Hybrid work includes 3 days per week in the Malmö office. Commuting is possible for the first 3 months; relocation to Sweden is required afterwards.

Jit Team

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