Machine Learning Engineer - Relocation & Visa Support

Work standard; Horsens; On-site; DKK 118,624 - 142,088; Full time

Benefits offered by this job

Accommodation provided

Visa sponsorship

Equal opportunity employer

Job summary

Work standard in Horsens, Denmark is seeking a highly skilled Machine Learning Engineer to design and implement ML models addressing real-world business problems. You will work with cross-functional teams to understand project requirements, collect and analyze data, and develop efficient ML solutions.

Responsibilities include designing, implementing and integrating models, analyzing large datasets for patterns, and continuously researching new techniques while guiding junior team members.

Qualifications

• Bachelor's degree in CS, Math, Stats or related field.
• Minimum 3 years of experience as ML Engineer or similar role.
• Strong knowledge of ML techniques: regression, clustering, trees and neural networks.
• Proficiency in Python or R; experience with TensorFlow or PyTorch.
• Knowledge of database systems and SQL.

Responsibilities

• Design, develop and implement ML algorithms and models.
• Analyze large datasets to identify patterns and trends.
• Work closely with cross-functional teams to understand project requirements.
• Collaborate with data scientists and software engineers to integrate ML solutions into existing systems.
• Continuously research and explore new ML techniques.
• Provide technical guidance to junior team members.

Skills

Python/R programming

ML model development

Data analysis

Problem solving

Education

Bachelor's degree in Computer Science, Mathematics, Statistics or related field

Tools

TensorFlow

PyTorch

SQL

Job description

Work standard in Horsens, Denmark is seeking a highly skilled Machine Learning Engineer to design and implement ML models addressing real-world business problems. You will work with cross-functional teams to understand project requirements, collect and analyze data, and develop efficient ML solutions.

Responsibilities include designing, implementing and integrating models, analyzing large datasets for patterns, and continuously researching new techniques while guiding junior team members.