Machine Learning Engineer

Machine Learning Engineer vacancy in Vejle Denmark

Machine Learning Engineer

We are seeking a talented Machine Learning Engineer to join our team in Vejle. As a Machine Learning Engineer, you will be responsible for developing and implementing machine learning algorithms and models to solve complex problems and enhance our products. You will work closely with our data scientists, software engineers, and product teams to identify opportunities for applying machine learning techniques and develop scalable solutions. The ideal candidate will have experience in machine learning, programming languages such as Python or R, and a strong understanding of data structures and algorithms.

Responsibilities

Develop and implement machine learning algorithms and models

Collaborate with data scientists, software engineers, and product teams to identify opportunities for applying machine learning techniques

Conduct experiments to improve the performance of existing models

Identify areas for improvement in data collection processes

Design, build, and maintain scalable machine learning pipelines

Monitor model performance and make necessary adjustments

Communicate results and insights to cross-functional teams

Requirements

Bachelor's or Master's degree in Computer Science, Mathematics, Statistics or related field

Minimum of 2 years experience as a Machine Learning Engineer or similar role

Proficiency in programming languages such as Python or R

Experience with deep learning frameworks like TensorFlow or PyTorch

Strong understanding of data structures and algorithms

Experience working with large datasets

Ability to work independently as well as collaboratively in a team environment

Excellent problem-solving skills

Strong communication skills

Details

Salary: 1100$ per month (negotiable based on experience)

Location: Vejle (accommodation provided if needed)

Employment Type: Contract (with possibility for extension)

Note: This position is open for all genders. We strongly encourage women to apply.

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