Machine Learning Engineer vacancy in Os Norway

Machine Learning Engineer
Location: Os, Norway


We are seeking a skilled Machine Learning Engineer to join our dynamic team in Os, Norway. As a Machine Learning Engineer, you will be responsible for designing, developing, and implementing algorithms and models for our machine learning projects. You will work closely with data scientists and software engineers to build innovative solutions for our clients.

Responsibilities:
- Design and develop machine learning algorithms and models
- Collaborate with data scientists to gather and analyze data
- Work closely with software engineers to integrate machine learning solutions into our products
- Continuously research and implement new techniques and technologies in the field of machine learning
- Test and evaluate the performance of machine learning models
- Optimize algorithms for efficiency and accuracy
- Communicate effectively with team members and clients to understand project requirements

Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, or related field
- Minimum of 2 years experience in a similar role
- Strong understanding of machine learning techniques such as neural networks, decision trees, etc.
- Proficiency in programming languages such as Python, Java, or C++
- Experience with deep learning frameworks such as TensorFlow or PyTorch
- Knowledge of data processing tools like SQL or Hadoop
- Excellent problem-solving skills and attention to detail
- Ability to work independently as well as in a team environment

Salary:
This is a contract job with a salary of 900$ per week. Salary may be negotiable based on experience.

Location:
This position is located in Os, Norway. Candidates who do not require accommodation are preferred.

Note:
Candidates must have a valid biometric passport for travel purposes.

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! Please apply with your resume and cover letter explaining why you are the perfect fit for this role.