Machine Learning Engineer vacancy in Roskilde Denmark

Part-Time Machine Learning Engineer


We are seeking a highly skilled and motivated Machine Learning Engineer to join our team in Roskilde. This is a part-time position, ideal for experienced professionals looking for flexible working hours. As a Machine Learning Engineer, you will be responsible for developing and implementing machine learning algorithms to solve complex business problems. You will work closely with our data science team to analyze large datasets and create predictive models that drive decision-making. The ideal candidate will have experience with various machine learning techniques, strong programming skills, and the ability to work independently.

Responsibilities:
- Develop and implement machine learning algorithms to solve business problems
- Collaborate with data scientists to analyze large datasets and create predictive models
- Conduct research on new machine learning techniques and tools
- Optimize existing algorithms for improved performance
- Test and validate models using real-world data
- Communicate findings and insights to stakeholders in a clear and concise manner

Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- Minimum of 2 years of experience as a Machine Learning Engineer or similar role
- Proficiency in programming languages such as Python, Java, or C++
- Strong understanding of machine learning techniques (e.g. regression, clustering, deep learning)
- Experience with machine learning libraries such as TensorFlow or PyTorch
- Familiarity with data visualization tools (e.g. Tableau)
- Excellent problem-solving skills
- Strong communication and teamwork abilities

Salary:
The salary for this part-time position is $1500 per month.

Location:
This job is based in Roskilde, Denmark. However, we welcome remote candidates who are able to work within European time zones.

We encourage applications from women as we strive for diversity within our team.

If you are passionate about using cutting-edge technology to drive business decisions and have the required experience, we would love to hear from you. Please submit your application today and join our dynamic team of machine learning experts.