Machine Learning Engineer — Build Scalable AI in Horsens

WealthGuard USA; Horsens; On-site; DKK 109,000 - 130,000; Full time

Job summary

WealthGuard USA is seeking a Machine Learning Engineer to design, develop, and deploy ML models in Horsens. You will collaborate with data scientists and software engineers to integrate ML into products, ensuring performance and scalability across datasets and systems.

Candidates should have 2+ years in ML engineering, strong Python/Java/C++ skills, and experience with TensorFlow or PyTorch. Knowledge of data mining and cloud platforms like AWS or Azure is a plus.

Qualifications

• Bachelor's or Master's degree in CS, Mathematics, or related field.
• Minimum 2 years of experience in machine learning engineering or related roles.
• Strong programming skills in Python, Java, or C++.
• Experience with deep learning frameworks such as TensorFlow or PyTorch.
• Knowledge of data mining techniques and tools.
• Familiarity with cloud computing platforms like AWS or Azure is a plus.

Responsibilities

• Design, develop, and implement machine learning algorithms and models.
• Collaborate with data scientists to identify areas where machine learning can improve our products.
• Work closely with software engineers to integrate machine learning solutions into our products.
• Train and evaluate machine learning models using large datasets.
• Optimize algorithms for performance and scalability.
• Stay up-to-date with the latest advancements in machine learning techniques.

Skills

Machine learning

Python

Java

C++

Deep learning

Data mining

Cloud platforms

Education

Bachelor's or Master's in Computer Science or Mathematics

Tools

TensorFlow

PyTorch

Job description

WealthGuard USA is seeking a Machine Learning Engineer to design, develop, and deploy ML models in Horsens. You will collaborate with data scientists and software engineers to integrate ML into products, ensuring performance and scalability across datasets and systems.

Candidates should have 2+ years in ML engineering, strong Python/Java/C++ skills, and experience with TensorFlow or PyTorch. Knowledge of data mining and cloud platforms like AWS or Azure is a plus.