Machine Learning Engineer in Kolding – Build AI Solutions

ExecuStaff Kuwait; Kolding; On-site; DKK 484,000 - 710,000; Full time

Job summary

ExecuStaff Kuwait is looking for a passionate Machine Learning Engineer to join our team in Kolding. In this role, you will design and implement machine learning algorithms, analyze large datasets to identify trends, and collaborate with cross-functional teams to develop solutions. A Bachelor's or Master's degree in a relevant field and a minimum of 3 years of experience are required. The role also involves developing data pipelines and optimizing model performance.

Opportunity for visa sponsorship is available. If you are excited about applying cutting-edge technology to real-world problems, we invite you to apply now and join our dynamic team.

Qualifications

• Bachelor’s or Master’s degree in a relevant field.
• Minimum of 3 years of experience as a Machine Learning Engineer or in a similar role.
• Strong programming skills in Python, R, or other relevant languages.
• Experience with machine learning libraries such as TensorFlow, Keras, or PyTorch.

Responsibilities

• Design and implement machine learning algorithms and models.
• Analyze large datasets to identify patterns and trends.
• Collaborate with cross‑functional teams to understand business requirements.
• Develop and maintain data pipelines and infrastructure for ML projects.

Skills

Python

R

Machine Learning Libraries (TensorFlow, Keras, PyTorch)

Data Analysis

Statistical Analysis

Education

Bachelor’s or Master’s degree in Computer Science, Mathematics, or related field

Tools

AWS

Azure

Job description

ExecuStaff Kuwait is looking for a passionate Machine Learning Engineer to join our team in Kolding. In this role, you will design and implement machine learning algorithms, analyze large datasets to identify trends, and collaborate with cross-functional teams to develop solutions. A Bachelor's or Master's degree in a relevant field and a minimum of 3 years of experience are required. The role also involves developing data pipelines and optimizing model performance.

Opportunity for visa sponsorship is available. If you are excited about applying cutting-edge technology to real-world problems, we invite you to apply now and join our dynamic team.