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SeaLink

Randers Kommune / Global

Machine Learning Engineer - Contract Position (Randers, Denmark)

  • kr.72.000 - kr.86.000

Job Summary

Salary Range:
kr.72.000 - kr.86.000
Job Type:
Contract
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Job Description

We are currently seeking a talented and motivated Machine Learning Engineer to join our team on a contract basis in Randers Denmark As a Machine Learning Engineer you will be responsible for developing and implementing machine learning algorithms and models that will drive innovation and improve our products and services In this role you will work closely with our data science team to identify business problems and develop solutions using machine learning techniques You will also collaborate with cross-functional teams to integrate machine learning into our existing systems and processes Your contributions will play a crucial role in driving the success of our company

Responsibilities Develop and implement machine learning algorithms and models

Identify business problems that can be solved using machine learning

Collaborate with data scientists to gather data and build datasets

Train test and validate machine learning models

Integrate machine learning solutions into existing systems

Continuously improve the performance of existing models

Requirements Bachelors or Masters degree in Computer Science Data Science or a related field

Strong understanding of machine learning techniques such as neural networks decision trees clustering etc

Proficiency in programming languages such as Python or R

Experience working with large datasets

Familiarity with data preprocessing techniques

Ability to work independently as well as collaboratively in a team environment

Strong problem-solving skills

Preferred Qualifications Previous experience working as a Machine Learning Engineer or Data Scientist

Knowledge of deep learning frameworks such as TensorFlow or PyTorch

Experience developing real-time machine learning applications

Working Conditions This is a contract position based in Randers Denmark The salary for this position is 1100$ per month The successful candidate must provide their own accommodation

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