ML Engineer: Build Scalable ML Pipelines in Vejle

Charm Connect

Vejle

On-site

DKK 70,000 - 94,000

Full time

14 days+
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Job summary

Charm Connect in Vejle, Denmark, seeks a Machine Learning Engineer to develop and implement ML models that power our products. You will work with data scientists, software engineers, and product teams to identify opportunities for applying ML techniques and to build scalable data pipelines.

The role requires 2+ years of ML engineering experience, proficiency in Python or R, and strong knowledge of data structures and algorithms.

Qualifications

  • Bachelor's or Master's degree in CS, Mathematics, Statistics or related field.
  • Minimum 2 years experience as a Machine Learning Engineer or similar role.
  • Proficiency in 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.

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

Skills

Python
R
Data structures
Algorithms
Problem solving
Communication
Teamwork
Independent work

Education

Bachelor's or Master's degree

Tools

TensorFlow
PyTorch

Job description

Charm Connect in Vejle, Denmark, seeks a Machine Learning Engineer to develop and implement ML models that power our products. You will work with data scientists, software engineers, and product teams to identify opportunities for applying ML techniques and to build scalable data pipelines.

The role requires 2+ years of ML engineering experience, proficiency in Python or R, and strong knowledge of data structures and algorithms.

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