Junior ML Engineer — Start Your Career in Randers

ApexBuild Solutions

Randers

On-site

DKK 81,000 - 97,000

Full time

2 days ago
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Benefits offered by this job

Relocation assistance

Job summary

ApexBuild Solutions in Randers, Denmark seeks an Entry-Level Machine Learning Engineer to join our team. You will collaborate with experienced engineers to design and implement ML models, collect and analyze large datasets, and develop preprocessing pipelines for efficient training.

The role emphasizes staying current with ML advancements, applying them to client projects, and optimizing models through tuning and feature selection. Relocation assistance may be provided for the right candidate.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Mathematics, or related field.
  • Strong understanding of ML concepts such as regression, classification, clustering.
  • Proficient in Python or R.
  • Familiarity with Scikit-Learn, TensorFlow, or PyTorch.
  • Experience with data manipulation and analysis using SQL or similar tools.
  • Excellent problem-solving skills and attention to detail.
  • Biometric passport for international travel.

Responsibilities

  • Collaborate with senior engineers to design and implement machine learning models and algorithms
  • Collect, clean, and analyze large datasets to train and validate models
  • Develop data preprocessing pipelines for efficient model training
  • Optimize model performance through hyperparameter tuning and feature selection
  • Stay updated on the latest advancements in machine learning techniques and apply them to our projects

Skills

Python
R
ML fundamentals
Problem solving
SQL
Travel flexibility

Education

Bachelor's or Master's degree in CS/Math

Tools

Scikit-Learn
TensorFlow
PyTorch

Job description

ApexBuild Solutions in Randers, Denmark seeks an Entry-Level Machine Learning Engineer to join our team. You will collaborate with experienced engineers to design and implement ML models, collect and analyze large datasets, and develop preprocessing pipelines for efficient training.

The role emphasizes staying current with ML advancements, applying them to client projects, and optimizing models through tuning and feature selection. Relocation assistance may be provided for the right candidate.

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