Machine Learning Engineer
Machine Learning Engineer - Kolding, Denmark
We are seeking a highly skilled Machine Learning Engineer to join our team in Kolding, Denmark. As a Machine Learning Engineer, you will be responsible for designing, developing, and implementing machine learning algorithms and models to solve complex problems and improve business processes.
Responsibilities:
- Designing and implementing machine learning models and algorithms.
- Developing data pipelines for efficient data processing.
- Collaborating with cross-functional teams to identify business problems and develop solutions using machine learning techniques.
- Conducting experiments and analyzing results to continuously improve the accuracy of models.
- Monitoring the performance of deployed models and making necessary adjustments.
- Staying updated with the latest advancements in machine learning technology and incorporating them into our processes.
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field.
- Minimum of 3 years of experience in machine learning engineering or data science roles.
- Strong understanding of machine learning concepts and techniques such as regression, classification, clustering, deep learning, etc.
- Proficiency in programming languages such as Python or R for data manipulation and model development.
- Experience with data visualization tools like Tableau or Power BI is a plus.
- Familiarity with cloud computing platforms such as AWS or Azure is preferred.
- Excellent problem-solving skills and attention to detail.
Salary:
$1100 per month
Location:
Kolding, Denmark
Note: This position is only open to candidates who already possess a valid work visa for Denmark. We do not offer visa sponsorship at this time.
If you are passionate about using your skills in machine learning to make an impact on real-world problems, we would love to hear from you! Please apply with your resume and a cover letter explaining why you are the ideal candidate for this role.
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views: 362
valid through: 2026-05-22