Machine Learning Engineer vacancy in Balzers Liechtenstein

Machine Learning Engineer

As a Machine Learning Engineer, you will be responsible for developing and implementing machine learning algorithms and models for various projects. You will work closely with the data science team to understand project requirements and design appropriate solutions. Your expertise in programming and data analysis will be essential in building and optimizing machine learning systems. You will also be responsible for testing and validating models, as well as maintaining and updating existing systems. This is a contract job based in Balzers, offering a salary of 1400$ per month.

Key Responsibilities:
- Develop machine learning algorithms and models for various projects
- Collaborate with the data science team to understand project requirements
- Design, build, and optimize machine learning systems
- Test and validate models to ensure accuracy
- Maintain and update existing machine learning systems
- Stay updated on industry trends and advancements in machine learning
- Communicate findings and results to relevant stakeholders

Requirements:
- Bachelor's degree in Computer Science, Mathematics, or related field
- Strong programming skills in Python or R
- Experience with data analysis, visualization, and manipulation tools such as Pandas, NumPy, or Plotly
- Familiarity with machine learning techniques such as regression, classification, clustering, etc.
- Knowledge of deep learning frameworks like TensorFlow or PyTorch is a plus
- Strong problem-solving skills with an analytical mindset
- Excellent communication skills to effectively collaborate with team members

Preferred:
- Master's degree in Machine Learning or related field
- Prior experience working on machine learning projects or internships
- Knowledge of cloud computing platforms such as AWS or Google Cloud Platform
- Understanding of software engineering principles and practices

Location: Balzers (remote work may be considered)

Salary: 1400$ per month (negotiable based on experience)