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Malmo

Malmo

AI Engineer 18008

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

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


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