Machine Learning Engineer vacancy in Randers Denmark

Machine Learning Engineer - Part Time (City: Randers)


We are hiring a part-time Machine Learning Engineer to join our team in Randers. As a Machine Learning Engineer, you will be responsible for developing, testing and implementing machine learning algorithms and models. You will also work closely with our data scientists and software developers to integrate machine learning capabilities into our products.

Responsibilities:
- Develop and implement machine learning algorithms for data analysis and prediction
- Collaborate with data scientists to identify opportunities for applying machine learning techniques
- Work with software developers to integrate machine learning capabilities into our products
- Continuously evaluate and improve the performance of existing models
- Stay updated on the latest developments in machine learning and incorporate new techniques as needed
- Document all processes, findings, and results for future reference

Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics or a related field
- Strong understanding of machine learning techniques such as regression, clustering, decision trees, etc.
- Proficiency in programming languages such as Python or R
- Experience with machine learning frameworks such as TensorFlow or Keras
- Knowledge of data visualization tools such as Tableau or Power BI is a plus
- Excellent problem-solving skills and attention to detail
- Ability to work independently as well as collaboratively in a team environment

Working Hours:
This is a part-time position with flexible working hours. The specific schedule can be discussed during the interview process.

Salary:
We offer a competitive salary of 1500$ per month for this part-time role.

Location:
This position is based in Randers. Candidates must have the right to work in Denmark without sponsorship.

Application Process:
To apply for this role, please submit your resume and cover letter outlining your relevant experience and qualifications. We thank all applicants for their interest; however, only those selected for an interview will be contacted.

Note: This position is open to candidates of all nationalities, but proficiency in English is required.