Systemutvecklare/Programmerare
Applied Machine Learning Engineer - 18194
VA
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