Machine Learning Engineer — Immediate Start (Accommodation)

GulfSea Services; Horsens; On-site; DKK 76,000 - 152,000; Full time

Benefits offered by this job

Accommodation provided

Job summary

GulfSea Services in Horsens is seeking a Machine Learning Engineer to design and implement ML algorithms that address real business problems. You will collaborate with cross-functional teams to gather requirements, analyze data, and build solutions using Python and ML libraries.

The ideal candidate holds a Bachelor's or Master's in CS or data science, has experience with TensorFlow/PyTorch, and can work with big datasets and cloud platforms such as AWS or Azure.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, or related field.
• Strong understanding of ML concepts including supervised/unsupervised learning, deep learning, and NLP.
• Experience with Python, R, C++, or Java.
• Familiarity with ML libraries like TensorFlow, PyTorch, Scikit-Learn.
• Ability to analyze large datasets and develop models using statistical techniques.
• Knowledge of cloud platforms such as AWS or Azure.

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 technical and non-technical stakeholders.

Skills

Python

R

C++

Java

Machine learning concepts

Data analysis

Problem solving

Education

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

Tools

TensorFlow

PyTorch

Scikit-Learn

AWS

Azure

Job description

GulfSea Services in Horsens is seeking a Machine Learning Engineer to design and implement ML algorithms that address real business problems. You will collaborate with cross-functional teams to gather requirements, analyze data, and build solutions using Python and ML libraries.

The ideal candidate holds a Bachelor's or Master's in CS or data science, has experience with TensorFlow/PyTorch, and can work with big datasets and cloud platforms such as AWS or Azure.