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Horsens / Global

Machine Learning Engineer

  • kr.118.624 - kr.142.088

Job Summary

Salary Range:
kr.118.624 - kr.142.088
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Job Description

We are seeking a highly skilled and experienced Machine Learning Engineer to join our team in Horsens Denmark As a Machine Learning Engineer you will be responsible for designing and implementing complex machine learning algorithms and models to solve challenging business problems You will work closely with cross-functional teams to understand project requirements collect and analyze data and develop efficient solutions using machine learning techniques

Responsibilities Design develop and implement machine learning 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 machine learning solutions into existing systems

Continuously research and explore new techniques and methods in the field of machine learning

Provide technical guidance to junior team members

Requirements Bachelors degree in Computer Science Mathematics Statistics or related field

Minimum of 3 years of experience as a Machine Learning Engineer or similar role

Strong understanding of machine learning techniques such as regression clustering decision trees neural networks etc

Proficiency in programming languages like Python or R

Experience with deep learning frameworks such as TensorFlow or PyTorch

Knowledge of database systems and SQL

Excellent problem-solving skills and attention to detail

Benefits Competitive salary of 1800$ per month with potential for growth

Accommodation provided for employees relocating to Horsens

Free visa sponsorship and travel arrangements for international candidates

Equal opportunity employer promoting diversity in the workplace

If you are passionate about using your skills in machine learning to drive innovation and make an impact on real-world problems we would love to hear from you Join our dynamic team in Horsens and be a part of shaping the future through cutting-edge technology

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