Machine Learning Engineer vacancy in Copenhagen Denmark

Part-Time Machine Learning Engineer



As a Part-Time Machine Learning Engineer, you will be responsible for developing and implementing machine learning algorithms and models to solve complex business problems. You will work closely with cross-functional teams to identify project requirements and develop innovative solutions using data-driven techniques. This role requires a strong background in machine learning and programming skills, as well as the ability to work independently in a fast-paced environment.

Responsibilities:
- Develop machine learning models to analyze large datasets and extract insights
- Collaborate with data scientists and engineers to design and implement machine learning solutions
- Utilize programming languages such as Python, R, or Java to build and deploy models
- Test and validate models for accuracy, reliability, and scalability
- Continuously monitor model performance and make improvements when necessary
- Communicate findings and recommendations to stakeholders in a clear and concise manner

Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, or related field
- 2+ years of experience in machine learning or data science roles
- Strong understanding of machine learning algorithms such as regression, clustering, decision trees, etc.
- Proficiency in programming languages such as Python or R
- Experience with deep learning frameworks like TensorFlow or PyTorch is a plus
- Ability to work part-time hours (20-30 hours per week)
- Excellent problem-solving skills and attention to detail

Location: Copenhagen (or remote within Denmark)
Salary: 1400$ per month (negotiable based on experience)
Employment Type: Part-time (with potential for full-time)
Accommodation: Not provided

We welcome candidates from all nationalities who meet the above requirements. If you are passionate about machine learning and looking for a flexible part-time opportunity in Copenhagen, we would love to hear from you! Apply now with your updated CV.