Machine Learning Engineer: Deploy & Scale Models (Accommodation)

TransaLink; Odense; On-site; DKK 94,000 - 123,000; Full time

Benefits offered by this job

Accommodation provided

Full-time position in Odense

Job summary

TransaLink in Odense is seeking a highly skilled Machine Learning Engineer to design, implement, and maintain ML algorithms and models that power our products and services. You will collaborate with data scientists, software engineers, and product managers to solve customer challenges.

The role requires 2+ years in ML engineering, strong Python or R skills, and experience with TensorFlow or PyTorch. Familiarity with Tableau/PowerBI for data insights is preferred.

Qualifications

• Bachelor's or Master's degree in Computer Science, Mathematics or related field.
• At least 2 years of experience as a Machine Learning Engineer or similar role.
• Strong understanding of ML concepts such as regression, classification, clustering, etc.
• Proficiency in Python or R.
• Experience with deep learning frameworks (TensorFlow or PyTorch).
• Familiarity with data visualization tools like Tableau or PowerBI.

Responsibilities

• Design, implement and maintain machine learning algorithms and models.
• Collect, clean and preprocess data for use in ML models.
• Collaborate with cross-functional teams to identify business problems for ML solutions.
• Develop prototype applications for testing and validation of ML models.
• Monitor model performance and adjust to improve accuracy.
• Stay up-to-date with developments in machine learning.

Skills

Machine learning concepts

Data preprocessing

Python

R

Deep learning frameworks

Data visualization

Problem solving

Education

Bachelor/Master degree in CS/Math or related field

Tools

TensorFlow

PyTorch

Tableau

PowerBI

Job description

TransaLink in Odense is seeking a highly skilled Machine Learning Engineer to design, implement, and maintain ML algorithms and models that power our products and services. You will collaborate with data scientists, software engineers, and product managers to solve customer challenges.

The role requires 2+ years in ML engineering, strong Python or R skills, and experience with TensorFlow or PyTorch. Familiarity with Tableau/PowerBI for data insights is preferred.