Machine Learning Engineer
Machine Learning Engineer
We are seeking a highly skilled and experienced Machine Learning Engineer to join our team in Triesen. As a Machine Learning Engineer, you will be responsible for designing, developing and implementing machine learning algorithms and models to solve complex business problems. You will work closely with cross-functional teams to identify opportunities for leveraging machine learning techniques and develop scalable solutions. This role is suitable for men with experience in the field and requires a biometric passport.
Responsibilities:
- Design, develop, and deploy machine learning models to solve business problems
- Collaborate with cross-functional teams to identify opportunities for applying machine learning techniques
- Develop data pipelines and infrastructure for processing large datasets
- Implement machine learning algorithms and models in production environments
- Conduct experiments to evaluate model performance and make necessary improvements
- Communicate findings and results effectively to stakeholders
Requirements:
- Bachelor's or Master's degree in Computer Science, Mathematics, or related field
- Minimum of 2 years of experience as a Machine Learning Engineer or similar role
- Proficient in programming languages such as Python, Java, or C++
- Strong understanding of machine learning algorithms such as regression, classification, clustering, etc.
- Experience with deep learning frameworks like TensorFlow or PyTorch
- Familiarity with data visualization tools such as Tableau or PowerBI
- Excellent problem-solving skills and ability to work independently
Salary: 1200$
Location: Triesen (Indian nationality preferred)
If you have a passion for solving complex problems using cutting-edge technology and have the required skills and experience, we would love to hear from you! This is a part-time position that offers competitive salary and opportunities for professional growth. Apply now with your updated CV.
All vacancies from "LuxGuard Solutions" ⟶
views: 5
valid through: 2026-07-04