Machine Learning Engineer vacancy in Balzers Liechtenstein

Machine Learning Engineer


We are hiring a highly skilled and innovative Machine Learning Engineer to join our dynamic team in Balzers. As a Machine Learning Engineer, you will be responsible for designing, developing, and implementing complex machine learning algorithms and models to solve real-world problems. This is an excellent opportunity for someone with a passion for artificial intelligence and a desire to work on cutting-edge technology.

Key Responsibilities:
- Design and develop machine learning algorithms and models based on business requirements.
- Gather, clean, and preprocess large datasets for training and testing purposes.
- Collaborate with data scientists and software engineers to integrate machine learning models into production systems.
- Monitor the performance of deployed models and continuously improve them through retraining and optimization.
- Stay up-to-date with the latest developments in the field of machine learning, including new techniques, tools, and frameworks.
- Communicate complex technical concepts to non-technical stakeholders.

Requirements:
- Bachelor's or Master's degree in computer science, mathematics, or a related field.
- Proven experience as a Machine Learning Engineer or similar role.
- Strong knowledge of machine learning techniques such as deep learning, reinforcement learning, natural language processing, etc.
- Proficiency in programming languages like Python, Java, or C++.
- Experience with popular machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.
- Familiarity with cloud computing platforms like AWS or Azure is a plus.
- Excellent problem-solving skills and attention to detail.

Benefits:
- Competitive salary of 1800$ per month.
- Accommodation provided by the company.
- Free visa sponsorship and travel expenses covered by the company.

We are looking for candidates who are passionate about machine learning and have a strong desire to learn and grow in this field. If you have the required skills and experience, we would love to hear from you!