Vacant job

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