ML Engineer (Geospatial)

TL;DR

ML Engineer (Geospatial): Designing and building machine learning systems to improve large-scale geospatial datasets with an accent on classical ML, NLP models, and data quality analysis. Focus on end-to-end development from experimentation to production deployment and integration into scalable systems.

Location: Must be based in Malmö, Sweden (Onsite)

Company

hirify.global is a Swedish IT and technology consulting firm providing specialized expertise in software development and complex analytical projects.

What you will do

• Design, develop, and deploy machine learning models for geospatial data.
• Build and maintain scalable data and software solutions.
• Apply data science techniques to generate insights and improve data quality.
• Own and deliver features and improvements end-to-end.
• Collaborate with cross-functional teams to integrate models into production systems.

Requirements

• Strong programming skills with extensive experience in Python.
• Proven experience in machine learning and data science (classification, clustering, anomaly detection).
• Experience working with LLMs, including prompting and agent-based workflows.
• Solid understanding of classical ML algorithms (SVM, Random Forest, Naive Bayes, k-NN).
• Proficiency with ML frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn, NumPy, and Pandas.
• Must be able to work onsite in Malmö, Sweden.

Nice to have

• Experience with Scala or Java.
• Knowledge in NLP, information retrieval, or data mining.
• Experience in statistical modeling and building predictive models.

Culture & Benefits

• Opportunity to work on complex and analytically demanding projects in Sweden.
• Focus on high quality, professionalism, and measurable results.
• Collaboration with experienced senior experts.