Machine Learning Engineer: Build Real-World AI Models (Greenland)

LuxGuard Solutions; Denmark; On-site; DKK 115,000 - 138,000; Full time

Job summary

LuxGuard Solutions is seeking a Machine Learning Engineer in Greenland (Denmark) to design, develop, and deploy ML models addressing complex business problems. You will collaborate with cross-functional teams, perform data cleaning, feature engineering, model selection and hyperparameter tuning to ensure accuracy and efficiency.

The ideal candidate has a strong ML background, proficiency in Python or R, and experience with TensorFlow or PyTorch, with a focus on data manipulation and analytical

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, or related field.
• 2+ years of experience in machine learning engineering.
• Proficient in Python or R programming languages.
• Experience with common machine learning algorithms (regression, decision trees, SVMs).
• Familiarity with deep learning frameworks like TensorFlow or PyTorch.
• Strong data manipulation and analysis skills.
• Excellent problem-solving and teamwork abilities.
• Excellent communication skills.
• Biometric passport (preferred).
• Experience working with accommodation (preferred).

Responsibilities

• Design, develop and deploy machine learning models to solve business problems.
• Perform data cleaning and feature engineering.
• Select models and tune hyperparameters.
• Monitor model performance and update as needed.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.

Skills

Python

R

Data analysis

Collaboration

Problem solving

Education

Bachelor's or Master's degree in Computer Science, Data Science, or related field

Tools

TensorFlow

PyTorch

Job description

LuxGuard Solutions is seeking a Machine Learning Engineer in Greenland (Denmark) to design, develop, and deploy ML models addressing complex business problems. You will collaborate with cross-functional teams, perform data cleaning, feature engineering, model selection and hyperparameter tuning to ensure accuracy and efficiency.

The ideal candidate has a strong ML background, proficiency in Python or R, and experience with TensorFlow or PyTorch, with a focus on data manipulation and analytical