Prestige Greeters
Randers Kommune / Global
Machine Learning Engineer (Part-Time)
- kr.104.000 - kr.141.000
- Remote
- Deltid
Randers Kommune / Global
We are hiring a part-time Machine Learning Engineer to join our team in Aarhus Denmark.
As a Machine Learning Engineer you will be responsible for developing testing and implementing machine learning models and algorithms to solve complex business problems. You will work closely with data scientists and software engineers to integrate these models into our systems and ensure their scalability and accuracy.
Key Responsibilities Develop and implement machine learning algorithms and models
Collaborate with data scientists to understand business goals and identify appropriate data sources
Work with software engineers to integrate machine learning models into our systems
Test the performance of machine learning models and make necessary adjustments
Ensure the scalability reliability and accuracy of these models in production environments
Stay updated on the latest developments in machine learning techniques and tools
Requirements Bachelors or Masters degree in Computer Science Mathematics or related field
Minimum of 2 years experience in developing and implementing machine learning models
Proficiency in programming languages such as Python R or Java
Familiarity with machine learning frameworks such as TensorFlow or PyTorch
Experience working with large datasets and data preprocessing techniques
Strong understanding of statistical analysis methods
Excellent problem-solving skills and attention to detail
Preferred Qualifications Experience working with deep learning techniques
Knowledge of cloud computing platforms such as AWS or Google Cloud
Strong communication skills and ability to work collaboratively in a team environment
Salary $1700 per month based on part-time hours.
Location Aarhus Denmark option for remote work.
Employment Type Part-Time.
Accommodation Not provided must have valid biometric passport for travel if needed.
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Randers Kommune / Global
Randers Kommune / Global
Randers Kommune / Global
Randers Kommune / Global
Randers Kommune / Global
Randers Kommune / Global