Machine Learning Engineer vacancy in Horsens Denmark

Machine Learning Engineer


A Machine Learning Engineer is responsible for designing, developing, and maintaining machine learning algorithms and models. This role requires a strong understanding of data structures, algorithms, and statistical models. The ideal candidate will have experience in programming languages such as Python, Java, or C++, as well as experience with machine learning frameworks like TensorFlow or PyTorch.

Key Responsibilities:
- Design, implement and maintain machine learning algorithms and models
- Collaborate with cross-functional teams to identify business requirements and develop solutions
- Conduct data analysis to identify patterns and trends
- Develop data pipelines to ingest, clean, and transform large datasets
- Optimize machine learning models for performance and scalability
- Stay updated with the latest advancements in machine learning technologies

Requirements:
- Bachelor's or Master's degree in Computer Science, Mathematics, or related field
- Minimum of 2 years experience in a similar role
- Strong understanding of data structures, algorithms, and statistical models
- Proficiency in programming languages such as Python, Java or C++
- Experience with machine learning frameworks like TensorFlow or PyTorch
- Excellent problem-solving skills
- Ability to work independently and in a team environment
- Good communication skills

Location: Horsens (or remote within Denmark)

Salary: 1400$ per month (negotiable based on experience)

Working hours: Full-time (40 hours per week)

Employment type: Permanent

Benefits:
- Biometric passport assistance (if needed)
- Opportunities for professional development through training courses and conferences
- Flexible working hours (within reason)
- Friendly and collaborative work environment

If you are passionate about applying cutting-edge technology to solve complex problems, then this is the perfect opportunity for you! Join our team of talented individuals who are dedicated to pushing the boundaries of what is possible with machine learning. Apply now!