Machine Learning Engineer vacancy in Randers Denmark

Machine Learning Engineer
Location: Randers, Denmark


A Machine Learning Engineer is responsible for designing, developing, and implementing cutting-edge machine learning algorithms and models to solve complex business problems. This role requires a strong understanding of data science and programming skills to collect, clean, and analyze large datasets. The ideal candidate should have experience in building and deploying machine learning models using programming languages such as Python or R.

Responsibilities:
- Design and develop machine learning algorithms to solve business problems
- Collect, clean, and analyze large datasets to train and test models
- Build and deploy machine learning models using programming languages such as Python or R
- Collaborate with cross-functional teams to understand business requirements
- Continuously evaluate the performance of deployed models and make improvements as needed
- Stay updated with the latest advancements in machine learning techniques and tools

Requirements:
- Bachelor's degree in Computer Science, Mathematics, or a related field
- 1+ years of experience in machine learning engineering or data science roles
- Strong understanding of machine learning concepts such as supervised/unsupervised learning, regression/classification techniques, etc.
- Proficiency in programming languages like Python or R for building and deploying models
- Experience with data manipulation tools like SQL or Pandas for data preprocessing
- Excellent problem-solving skills and attention to detail
- Ability to work independently as well as collaborate with cross-functional teams

Salary:
We offer a competitive salary of 1700$ per month for this role.

Location:
The role is based in Randers but remote work options may be available depending on the current situation.

Experience required:
We welcome applications from both experienced professionals as well as fresh graduates who meet the above requirements. We value enthusiasm and a willingness to learn over extensive experience.

Are you passionate about leveraging your skills in machine learning to drive business impact? Apply now for this exciting opportunity!