Beskrivning
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
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
