Machine Learning Engineer vacancy in Vejle Denmark

Machine Learning Engineer

We are seeking a passionate and driven Machine Learning Engineer to join our team in Vejle. In this role, you will be responsible for developing and implementing machine learning algorithms and models to improve our company's products and services. As a Machine Learning Engineer, you will work closely with data scientists and software engineers to gather and analyze data, build and train models, and deploy them into production.

Key Responsibilities:
- Develop and implement machine learning algorithms and models.
- Gather and analyze large datasets to identify patterns and trends.
- Collaborate with cross-functional teams to define project goals, requirements, and deliverables.
- Train machine learning models using various techniques such as supervised learning, unsupervised learning, deep learning, etc.
- Evaluate the performance of models and make necessary improvements.
- Deploy trained models into production systems.
- Continuously research new methods and technologies in the field of machine learning.

Requirements:
- Bachelor's or Master's degree in Computer Science, Mathematics, or a related field.
- Strong understanding of machine learning concepts such as regression, classification, clustering, etc.
- Proficient in programming languages such as Python or R.
- Experience with machine learning libraries/frameworks such as scikit-learn, TensorFlow, Keras, etc.
- Experience working with large datasets using SQL or other database technologies.
- Knowledge of data visualization tools such as Tableau or Power BI is a plus.
- Ability to work independently as well as in a team environment.

We offer:
- Competitive salary of 1800$ per month.
- Contract job with potential for extension based on performance.
- Free visa sponsorship for non-EU applicants.
- Travel ticket assistance for relocation (if needed).
Note: This job is open to all genders.

If you have a passion for solving complex problems using machine learning techniques and want to be part of a dynamic team that is shaping the future of technology, apply now!