Machine Learning Engineer vacancy in Shan Liechtenstein

Machine Learning Engineer - Shan, China


We are seeking a highly skilled Machine Learning Engineer to join our team in Shan, China. In this role, you will be responsible for developing and implementing machine learning algorithms and models to solve complex problems and optimize processes. You will work closely with our data scientists and software engineers to design, test, and deploy machine learning solutions.

Responsibilities:
- Develop and implement machine learning algorithms and models for data analysis and prediction.
- Collaborate with cross-functional teams to understand business needs and identify opportunities for applying machine learning techniques.
- Collect, clean, and preprocess large datasets for training machine learning models.
- Design experiments to evaluate the performance of different models and algorithms.
- Optimize existing machine learning models for improved accuracy and efficiency.
- Stay up-to-date with the latest advancements in machine learning techniques and technologies.

Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Minimum 2 years of experience working as a Machine Learning Engineer or in a similar role.
- Strong programming skills in Python or R.
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras.
- Knowledge of various supervised and unsupervised learning algorithms.
- Experience with big data technologies such as Hadoop or Spark is a plus.
- Excellent problem-solving skills and ability to think creatively to find solutions.

Benefits:
- Competitive salary package of 1200$ per month
- Opportunity to work on cutting-edge projects using the latest technologies
- Dynamic work environment with room for growth and development
- Relocation assistance provided for non-local candidates

If you have a passion for machine learning and want to be part of an innovative team pushing boundaries in the field, we would love to hear from you. Apply now!