Junior Machine Learning Engineer - Flexible Hours & Growth

CloudHire; Kolding; On-site; DKK 101,000 - 136,000; Full time

Benefits offered by this job

Accommodation provided for non-local

Growth opportunities

Mentorship from ML experts

Flexible working hours

Job summary

CloudHire is seeking an entry-level Machine Learning Engineer in Kolding to join our growing tech team. You will work closely with data scientists and software engineers to develop, implement and maintain ML models and algorithms.

This role is ideal for someone with a strong background in mathematics, statistics or computer science who is eager to gain hands-on experience in machine learning and contribute to real-world projects in a fast-paced environment.

Qualifications

• Bachelor's degree in mathematics, statistics, computer science or related field.
• Strong understanding of ML concepts such as regression, classification, clustering.
• Proficiency in Python or R.
• Familiarity with scikit-learn, TensorFlow or PyTorch.
• Excellent problem-solving and attention to detail.
• Ability to work independently and in a team.
• No prior experience required but eager to learn in a fast-paced environment.

Responsibilities

• Develop ML models and algorithms to solve business problems.
• Collaborate with data scientists and engineers to deploy models.
• Perform data preprocessing, feature engineering, and analysis.
• Train and tune models using regression, classification, clustering techniques.
• Monitor model performance and implement improvements.
• Stay current with ML industry trends.

Skills

ML concepts

Python

R

Mathematics

Statistics

Problem solving

Independence

Teamwork

Education

Bachelor's degree in mathematics, statistics, computer science or related field

Tools

scikit-learn

TensorFlow

PyTorch

Job description

CloudHire is seeking an entry-level Machine Learning Engineer in Kolding to join our growing tech team. You will work closely with data scientists and software engineers to develop, implement and maintain ML models and algorithms.

This role is ideal for someone with a strong background in mathematics, statistics or computer science who is eager to gain hands-on experience in machine learning and contribute to real-world projects in a fast-paced environment.