Machine Learning Engineer vacancy in Aarhus Denmark

Junior Machine Learning Engineer

We are seeking a passionate and driven Junior Machine Learning Engineer to join our team in Aarhus. The ideal candidate will have a strong background in computer science, mathematics, or a related field, with a particular focus on machine learning and artificial intelligence. As a Junior Machine Learning Engineer, you will be responsible for assisting in the development and implementation of cutting-edge machine learning algorithms and models, as well as supporting data collection and analysis efforts.

Key Responsibilities:
- Assist in the development of machine learning algorithms and models for various projects.
- Collaborate with cross-functional teams to gather requirements and identify opportunities for applying machine learning techniques.
- Conduct data analysis and pre-processing to ensure high-quality input for machine learning algorithms.
- Implement machine learning models using programming languages such as Python or R.
- Continuously evaluate and improve the performance of existing machine learning models.
- Stay up-to-date with industry trends and advancements in machine learning.

Requirements:
- Bachelor's degree in computer science, mathematics, or a related field.
- Strong understanding of machine learning concepts such as regression, classification, clustering, etc.
- Proficiency in programming languages such as Python or R.
- Experience with data analysis tools such as Pandas or NumPy.
- Familiarity with deep learning frameworks (e.g. TensorFlow, Keras) is a plus.
- Ability to work independently as well as collaboratively in a team environment.

We offer:
- Competitive salary of 1000$ per month.
- Opportunity to work on exciting projects using cutting-edge technologies.
- Professional development opportunities through training and workshops.
- A dynamic and diverse work environment in the vibrant city of Aarhus.

This position is suitable for both men and women. We welcome applicants from all nationalities. If you are a motivated individual with a passion for machine learning, we would love to hear from you!