Work corp
Esbjerg / Global
Machine Learning Engineer
- kr.600.000 - kr.900.000
Esbjerg / Global
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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Esbjerg / Global
Esbjerg / Global
Esbjerg / Global
Esbjerg / Global
Esbjerg / Global
Esbjerg / Global