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Esbjerg / Global

Machine Learning Engineer

  • kr.600.000 - kr.900.000

Job Summary

Salary Range:
kr.600.000 - kr.900.000
Job Type:
Contract
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Job Description

As a Machine Learning Engineer you will be responsible for developing and implementing machine learning algorithms and models to solve complex business problems. You will work closely with data scientists and software engineers to design, build, and deploy cutting‑edge solutions that leverage the power of machine learning. This is a contract job based in Esbjerg open to both freshers and experienced professionals.

Responsibilities Design, develop and implement machine learning algorithms and models

Collaborate with data scientists to identify business problems and define project goals

Gather, clean and preprocess data for use in machine learning models

Train, test and validate models using techniques such as regression analysis, decision trees and neural networks

Optimize models for performance and scalability

Work with software engineers to integrate machine learning solutions into existing systems

Stay up-to-date with advancements in the field of machine learning

Requirements Bachelors or Masters degree in computer science, mathematics, data science or a related field

Proven experience working as a Machine Learning Engineer or Data Scientist

Strong understanding of machine learning techniques such as supervised and unsupervised learning, and deep learning

Experience with programming languages such as Python or R

Knowledge of libraries and frameworks such as TensorFlow, Keras and PyTorch

Familiarity with big data platforms like Hadoop or Spark is a plus

Ability to work independently and in a team environment

Strong analytical and problem‑solving skills

Excellent communication skills

We are looking for someone who is passionate about utilizing the power of data through machine learning to drive business success. If you have a strong technical background and enjoy tackling challenging problems with innovative solutions, then this role is for you.

Apply now to join our dynamic team in Esbjerg.

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