Machine Learning Engineer vacancy in Esbjerg Denmark

Machine Learning Engineer - Esbjerg, Denmark


As a Machine Learning Engineer, you will be responsible for developing and maintaining machine learning models and algorithms. You will work closely with data scientists and software engineers to implement these models into production systems. Your role will involve researching, designing, and implementing cutting-edge machine learning solutions to solve complex business problems.

Responsibilities:
- Develop and maintain machine learning models and algorithms
- Collaborate with data scientists and software engineers to implement models into production systems
- Research, design, and implement cutting-edge machine learning solutions
- Continuously improve existing models to increase accuracy and efficiency
- Perform data analysis and pre-processing to prepare data for machine learning algorithms
- Evaluate the performance of existing models and propose improvements
- Stay up-to-date with the latest advancements in machine learning techniques
- Communicate complex technical concepts to non-technical stakeholders

Requirements:
- Bachelor's or Master's degree in Computer Science, Mathematics, or a related field
- Proven experience as a Machine Learning Engineer or similar role
- Strong programming skills in Python, R, or other programming languages commonly used in machine learning
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
- Knowledge of statistics and probability theory
- Experience with data manipulation, analysis, and visualization tools (e.g. Pandas, NumPy)
- Excellent problem-solving skills and attention to detail

Salary:
We offer a competitive salary of 1300$ per month for this position.

Location:
This position is located in Esbjerg, Denmark. Relocation assistance may be provided for the right candidate.

If you are passionate about using your skills in machine learning to solve real-world problems and thrive in a fast-paced environment, we encourage you to apply for this exciting opportunity.