Applied Machine Learning Engineer - 18194
Veritaz ABPublicerad: 2026-06-10
Ansök senast: 2026-07-10
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 seeking a Machine Learning Engineer
What You Will Work On
Develop, train, and optimize machine learning models for production use cases
Build and maintain end-to-end ML pipelines and workflows
Perform feature engineering and exploratory data analysis (EDA)
Deploy machine learning models into production environments
Implement model retraining, calibration, and continuous improvement strategies
Develop predictive models and decision-support systems
Work with model-driven decisioning and optimization approaches
Explore and implement bandit algorithms for dynamic decision-making
Monitor model performance and ensure stability in production systems
Improve existing ML workflows for scalability and robustness
Collaborate with data engineers, software engineers, and business stakeholders
Contribute to development of new ML-powered features and capabilities
Support automation of intelligent decision-making systems
Ensure reproducibility, reliability, and observability of ML systems
What You Bring
Experience in Machine Learning Engineering or Applied Machine Learning
Strong understanding of predictive modeling techniques
Experience with model retraining and lifecycle management
Hands-on experience with production ML systems
Experience in exploratory data analysis (EDA) and feature engineering
Experience with model-driven decisioning systems
Knowledge of TensorFlow or similar ML frameworks
Experience deploying machine learning models into production
Understanding of scalable ML system design and architecture
Ability to collaborate effectively with cross-functional teams
Assignment Description
We are seeking a Machine Learning Engineer
What You Will Work On
Develop, train, and optimize machine learning models for production use cases
Build and maintain end-to-end ML pipelines and workflows
Perform feature engineering and exploratory data analysis (EDA)
Deploy machine learning models into production environments
Implement model retraining, calibration, and continuous improvement strategies
Develop predictive models and decision-support systems
Work with model-driven decisioning and optimization approaches
Explore and implement bandit algorithms for dynamic decision-making
Monitor model performance and ensure stability in production systems
Improve existing ML workflows for scalability and robustness
Collaborate with data engineers, software engineers, and business stakeholders
Contribute to development of new ML-powered features and capabilities
Support automation of intelligent decision-making systems
Ensure reproducibility, reliability, and observability of ML systems
What You Bring
Experience in Machine Learning Engineering or Applied Machine Learning
Strong understanding of predictive modeling techniques
Experience with model retraining and lifecycle management
Hands-on experience with production ML systems
Experience in exploratory data analysis (EDA) and feature engineering
Experience with model-driven decisioning systems
Knowledge of TensorFlow or similar ML frameworks
Experience deploying machine learning models into production
Understanding of scalable ML system design and architecture
Ability to collaborate effectively with cross-functional teams
