Applied Machine Learning Engineer - 18194

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