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Esbjerg / Global

Machine Learning Engineer

  • kr.550.000 - kr.750.000

Job Summary

Salary Range:
kr.550.000 - kr.750.000
Job Type:
Contract
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Job Description

Machine Learning Engineer vacancy in Esbjerg Denmark

Machine Learning Engineer

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 various techniques such as regression analysis, decision trees, 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:

Bachelor's or Master's degree in computer science, mathematics, data science or related field

Proven experience working as a Machine Learning Engineer or Data Scientist

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

Experience working with programming languages such as Python or R

Knowledge of libraries/frameworks like TensorFlow, Keras, 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.

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