Machine Learning/Data Scientist
AI Engineer – 18008
Malmo, Sweden
Onsite
Job Summary
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Posted Date
June 2, 2026
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Work Type
Onsite
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Deadline
2026-06-30
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Schedule
Full-time
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Location
Malmo, Sweden
Job Description
Assignment Description
We are currently looking for an experienced Machine Learning Engineer
What You Will Work On
- Design, develop, and deploy machine learning models for large-scale data processing
- Build and maintain scalable software and data solutions
- Develop machine learning systems that improve data quality and data reliability
- Apply data science techniques to generate insights from large geospatial datasets
- Develop classification, clustering, anomaly detection, and predictive models
- Design and implement NLP solutions for structured information extraction
- Work with Large Language Models (LLMs), prompting strategies, and agent-based workflows
- Develop feature engineering pipelines and model evaluation frameworks
- Support model integration, productionization, and deployment activities
- Collaborate with software engineers, data engineers, and business stakeholders
- Optimize model performance, scalability, and operational efficiency
- Own features and technical deliverables throughout the entire development lifecycle
- Support continuous improvement of AI and machine learning capabilities
What You Bring
- Strong programming skills with extensive experience in Python
- Proven experience developing machine learning and data science solutions
- Hands-on experience with classification, clustering, feature engineering, anomaly detection, and neural networks
- Experience working with Large Language Models (LLMs)
- Knowledge of prompt engineering and agent-based AI workflows
- Strong understanding of classical machine learning algorithms including:
- Support Vector Machines (SVM)
- Random Forest
- Naive Bayes
- k-Nearest Neighbors (k-NN)
- Experience with modern machine learning frameworks and libraries including:
- PyTorch
- TensorFlow
- Keras
- Scikit-learn
- NumPy
- Pandas
- Strong analytical thinking and problem-solving abilities
- Ability to balance innovation with practical delivery and production requirements
- Excellent communication and collaboration skills
- Proactive, ownership-driven, and delivery-focused mindset
- Ability to thrive in fast-paced and technically challenging environments
If this sounds interesting please send your CV at cv@veritaz.se
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