Machine Learning Engineer
Machine Learning Engineer
As a Machine Learning Engineer, you will be responsible for developing and implementing algorithms and models for data analysis and prediction. You will work closely with the data science team to design and implement machine learning solutions that will help improve business processes and enhance customer experiences. This is a contract position with a salary of 1300$ per month, based in Kolding, Denmark.
Requirements:
- Bachelor's or Master's degree in Computer Science, Mathematics, or related field
- Minimum of 2 years of experience in data analysis and machine learning
- Strong programming skills in languages such as Python or R
- Experience with machine learning libraries such as TensorFlow or PyTorch
- Knowledge of statistics and data mining techniques
- Excellent problem-solving skills and attention to detail
- Ability to work independently as well as collaboratively in a team environment
Responsibilities:
- Develop and implement machine learning algorithms for data analysis and prediction
- Collaborate with the data science team to understand business requirements and design appropriate solutions
- Perform data preprocessing, feature engineering, and model selection to improve accuracy of predictions
- Build scalable systems for real-time monitoring of models
- Conduct experiments to identify optimal model parameters and evaluate model performance
- Stay updated on the latest developments in machine learning techniques and tools to continuously improve our solutions
Benefits:
This contract position includes accommodation provided by the company. We also provide assistance in obtaining a biometric passport for international employees. Our company values diversity and encourages applications from women.
If you are passionate about using machine learning to solve complex problems, have a strong background in programming and statistics, and enjoy working in a dynamic team environment, we would love to hear from you!
All vacancies from "RapidFix Services" ⟶
views: 138
valid through: 2026-06-20