Machine Learning Engineer vacancy in Esbjerg Denmark

Machine Learning Engineer



As a Machine Learning Engineer, you will be responsible for developing and implementing machine learning algorithms and models. You will work closely with our team of data scientists and software engineers to design, build, and deploy machine learning solutions that meet business needs. This role requires strong programming skills, knowledge of machine learning techniques, and experience with large datasets.

Responsibilities:
- Design, develop, and implement machine learning algorithms and models
- Collaborate with data scientists to understand business requirements and identify potential use cases for machine learning
- Clean, preprocess, and analyze large datasets to extract meaningful insights
- Select appropriate machine learning techniques and algorithms based on the problem at hand
- Train and fine-tune models using various techniques such as cross-validation and hyperparameter optimization
- Deploy models into production systems
- Continuously monitor model performance and make necessary improvements

Requirements:
- Bachelor's or Master's degree in Computer Science, Mathematics, or a related field
- Minimum of 2 years of experience in developing machine learning solutions
- Proficient in programming languages such as Python or R
- Experience with popular deep learning libraries such as TensorFlow or PyTorch
- Knowledge of data visualization tools such as Tableau or Power BI is a plus
- Strong understanding of statistical analysis methods and their applications in machine learning
- Familiarity with cloud computing platforms like AWS or Azure is preferred
- Excellent problem-solving skills
- Ability to communicate technical concepts to non-technical stakeholders

Location: Esbjerg, Denmark (Candidates who require accommodation may apply)

Salary: $900/month (Negotiable based on experience)

We welcome candidates from all nationalities who possess a valid biometric passport. Join our dynamic team today as we continue to revolutionize the way businesses use machine learning!