Machine Learning Engineer - Growth & Relocation Support

SnapReach Media; Vejle; On-site; DKK 101,000 - 137,000; Full time

Benefits offered by this job

Relocation assistance

Growth opportunities

Dynamic work environment

Competitive salary

Job summary

SnapReach Media in Vejle, Denmark is seeking a Machine Learning Engineer to design, train and deploy ML solutions that enhance our products and services. You will collaborate with cross-functional teams to integrate models into existing systems and data pipelines.

The ideal candidate has a Bachelor's or Master's in Computer Science or Mathematics, 2+ years in ML or data science, strong Python or R skills, and hands-on experience with TensorFlow or PyTorch.

Qualifications

• Bachelor's or Master's degree in Computer Science, Mathematics, or a related field.
• Minimum of 2 years of experience in machine learning or data science.
• Excellent communication skills and ability to work in a fast-paced team environment.

Responsibilities

• Design, develop, and implement machine learning solutions for various projects.
• Analyze large datasets to identify patterns and trends that can be used to improve our products and services.
• Collaborate with cross-functional teams to integrate machine learning into existing systems and processes.
• Train and evaluate machine learning models using various algorithms and techniques.
• Conduct experiments to test the performance of different models.
• Continuously research new technologies and approaches in the field of machine learning.
• Communicate findings and results to stakeholders in a clear and concise manner.

Skills

Python

R

Data analysis

Communication

Education

Bachelor's or Master's degree in Computer Science or Mathematics

Tools

TensorFlow

PyTorch

AWS

Azure

Job description

SnapReach Media in Vejle, Denmark is seeking a Machine Learning Engineer to design, train and deploy ML solutions that enhance our products and services. You will collaborate with cross-functional teams to integrate models into existing systems and data pipelines.

The ideal candidate has a Bachelor's or Master's in Computer Science or Mathematics, 2+ years in ML or data science, strong Python or R skills, and hands-on experience with TensorFlow or PyTorch.