Part-Time ML Engineer - Flexible Hours, Visa Sponsorship

EventMakers Entertainment; Denmark; On-site; DKK 87,000 - 115,000; Part time

Benefits offered by this job

Competitive monthly salary

Flexible working hours

Accommodation provided

Visa sponsorship and travel to Denmark

Work with cutting-edge technologies

Job summary

EventMakers Entertainment in Randers, Denmark is seeking a highly skilled part-time Machine Learning Engineer to join our team on cutting-edge projects in ML and AI.

You will develop and implement ML algorithms for data analysis, collaborate with cross-functional teams, design experiments, and communicate findings. We offer flexible hours, accommodation if needed, visa sponsorship and travel to Denmark, and the chance to make a real impact with emerging technologies.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science or related field.
• Minimum 2 years of experience in developing ML models for real-world applications.
• Proficient in Python, R or Java.
• Strong understanding of ML algorithms and statistical methods.
• Experience with data visualization tools like Tableau or Power BI is a plus.

Responsibilities

• Develop and implement machine learning algorithms for data analysis and prediction.
• Collaborate with cross-functional teams to identify business needs and develop solutions using ML techniques.
• Conduct thorough research on emerging technologies and incorporate them into existing systems.
• Design experiments and perform data analysis to evaluate model performance.
• Communicate findings and recommendations to stakeholders clearly.

Skills

Data analysis

Statistical methods

Cross-functional collaboration

Education

CS/Data Science degree

Tools

Python

R

Java

Job description

EventMakers Entertainment in Randers, Denmark is seeking a highly skilled part-time Machine Learning Engineer to join our team on cutting-edge projects in ML and AI.

You will develop and implement ML algorithms for data analysis, collaborate with cross-functional teams, design experiments, and communicate findings. We offer flexible hours, accommodation if needed, visa sponsorship and travel to Denmark, and the chance to make a real impact with emerging technologies.