Machine Learning Engineer vacancy in Odense Denmark

Machine Learning Engineer (Part-Time)

We are seeking a highly skilled and motivated Machine Learning Engineer to join our team in Odense. In this part-time role, you will be responsible for developing and implementing machine learning algorithms to improve our products and services. The ideal candidate will have a strong background in computer science, statistics, and machine learning techniques, as well as experience with programming languages such as Python, R, or Java.

Responsibilities:
- Design, develop and implement machine learning algorithms to solve complex business problems
- Collaborate with cross-functional teams to identify opportunities for applying machine learning techniques
- Analyze and extract relevant information from large datasets
- Evaluate the performance of machine learning models and make necessary improvements
- Communicate results and insights to stakeholders in a clear and concise manner

Requirements:
- Bachelor's or Master's degree in computer science, statistics, or a related field
- Strong understanding of machine learning techniques such as supervised/unsupervised learning, deep learning, reinforcement learning
- Proficiency in programming languages such as Python, R, or Java
- Experience with data manipulation and analysis using SQL or similar tools
- Familiarity with data visualization tools such as Tableau or Power BI
- Ability to work independently and collaboratively in a fast-paced environment

Preferred qualifications:
- Prior experience working with large datasets and cloud computing platforms such as AWS or Azure
- Knowledge of natural language processing (NLP) techniques
- Experience with software engineering best practices such as version control systems (Git) and agile methodologies

This is a part-time position with flexible hours. Salary will be based on experience. Our company does not offer accommodation for this role. We welcome applicants without prior experience who are eager to learn and grow in the field of machine learning. Join us in revolutionizing our products through cutting-edge technology!