Machine Learning Engineer

GulfSea Services; Horsens; On-site; DKK 111,383 - 133,415; Full time

Job summary

GulfSea Services is searching for a highly skilled Machine Learning Engineer to join their team in Horsens, Denmark. The ideal candidate will hold a Bachelor's or Master's degree in Computer Science or Data Science and possess strong analytical skills along with programming proficiency in Python, R, C++, or Java.

Responsibilities include designing and implementing machine learning algorithms, collaborating with teams, and optimizing models for efficiency. A competitive salary of 1700$ per month is offered, along with accommodation for candidates without experience.

Qualifications

• Strong understanding of machine learning concepts such as supervised and unsupervised learning, deep learning, and natural language processing.
• Experience with programming languages such as Python, R, C++, or Java.
• Ability to analyze large datasets and develop models using statistical techniques.

Responsibilities

• Design and implement machine learning algorithms to solve business problems.
• Collaborate with cross-functional teams to gather requirements and understand business needs.
• Analyze large datasets to identify patterns and trends.
• Develop models using various programming languages and tools.
• Test and evaluate model performance on different datasets.
• Optimize models for scalability, efficiency, and accuracy.
• Communicate results effectively to both technical and non-technical stakeholders.

Skills

Machine learning concepts

Programming languages: Python, R, C++, Java

Machine learning libraries: TensorFlow, PyTorch, Scikit-Learn

Data analysis techniques

Cloud computing knowledge: AWS, Azure

Problem-solving skills

Education

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

Job description

Our company is searching for a highly skilled Machine Learning Engineer to join our team in Horsens.

Key Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science or a related field
• Strong understanding of machine learning concepts such as supervised and unsupervised learning, deep learning, and natural language processing
• Experience with programming languages such as Python, R, C++, or Java
• Familiarity with machine learning libraries such as TensorFlow, PyTorch, or Scikit‑Learn
• Ability to analyze large datasets and develop models using statistical techniques
• Knowledge of cloud computing platforms such as AWS or Azure
• Strong problem‑solving skills and attention to detail

Responsibilities

• Design and implement machine learning algorithms to solve business problems
• Collaborate with cross‑functional teams to gather requirements and understand business needs
• Analyze large datasets to identify patterns and trends
• Develop models using various programming languages and tools
• Test and evaluate model performance on different datasets
• Optimize models for scalability, efficiency and accuracy
• Communicate results effectively to both technical and non‑technical stakeholders

Benefits & Compensation

Competitive salary of 1700$ per month. Accommodation is offered for candidates without experience.