Machine Learning Engineer
Machine Learning Engineer
As a Machine Learning Engineer, you will be responsible for developing and maintaining machine learning models and algorithms. This role will require strong programming skills, a deep understanding of data structures and algorithms, and experience with machine learning libraries such as TensorFlow or PyTorch. You will work closely with data scientists and software engineers to design and implement scalable solutions for complex business problems.
Responsibilities:
- Develop and maintain machine learning models using state-of-the-art techniques.
- Collaborate with data scientists to understand business problems and develop appropriate solutions.
- Use programming languages like Python or R to clean, analyze, and manipulate large datasets.
- Implement efficient algorithms for model training, evaluation, and deployment.
- Work with software engineers to integrate machine learning models into production systems.
- Monitor model performance and make necessary adjustments to ensure accuracy and efficiency.
Requirements:
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics or related field.
- Strong mathematical background with knowledge of linear algebra, probability theory, statistics, etc.
- Experience working with large datasets and performing data preprocessing tasks.
- Proficiency in programming languages like Python or R.
- Experience with machine learning libraries such as TensorFlow or PyTorch.
- Understanding of different machine learning techniques including deep learning, reinforcement learning, etc.
- Familiarity with cloud computing platforms such as AWS or Azure is a plus.
- Excellent problem-solving skills and attention to detail.
Salary: 1000$ per month (negotiable based on experience)
Location: Esbjerg, Denmark
Employment Type: Full-time
Accommodation: Provided
Nationality/Location Preference: None
We welcome candidates of all genders for this position.
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views: 1.2K
valid through: 2025-12-20