SeaLink
Randers Kommune / Global
Machine Learning Engineer - Contract Position (Randers, Denmark)
- kr.72.000 - kr.86.000
Randers Kommune / Global
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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Randers Kommune / Global
Randers Kommune / Global
Randers Kommune / Global
Randers Kommune / Global
Randers Kommune / Global
Randers Kommune / Global