Machine Learning Engineer (Part-Time)

Jobleader; Bergen; On-site; NOK 344,000 - 523,000; Part time

Benefits offered by this job

Accommodation options for relocation

Job summary

Jobleader in Bergen is looking for a part-time Machine Learning Engineer to join our team and work on cutting-edge projects, gaining practical experience in ML.

You will develop and implement ML algorithms using Python or R, collaborate with experienced engineers and scientists, and help integrate ML solutions into our products. Accommodation options are available for relocation.

Qualifications

• Strong understanding of machine learning techniques and tools.
• Programming skills in languages such as Python or R.
• Experience with data analysis and visualization is preferred.

Responsibilities

• Develop and implement machine learning algorithms and models to solve complex problems.
• Collaborate with a team of engineers and scientists to design, test, and refine ML algorithms.
• Work with cross-functional teams to integrate ML solutions into products.

Skills

Machine learning

Python

R

Data analysis

Visualization

Job description

Machine Learning Engineer (Part-Time)

Are you a talented and driven individual looking to jumpstart your career in machine learning? We are seeking a highly motivated Machine Learning Engineer for a part-time position in Bergen, Norway. As a Machine Learning Engineer, you will have the opportunity to work on cutting-edge projects and gain valuable experience in the field.

In this role, you will be responsible for developing and implementing machine learning algorithms and models to solve complex problems. You will work closely with a team of experienced engineers and scientists to design, test, and refine these algorithms. Additionally, you will collaborate with cross-functional teams to integrate machine learning solutions into our products.

To excel in this role, you should have a strong understanding of machine learning techniques and tools, as well as programming skills in languages such as Python or R. Experience with data analysis and visualization is also preferred. While prior experience is not required, we welcome applicants who are passionate about machine learning and eager to learn.

As this is a part-time position, we offer flexible working hours that can accommodate your schedule. We also provide accommodation options for those who may be relocating for this opportunity.