Machine Learning Engineer
Machine Learning Engineer (Part-Time)
We are seeking a highly skilled and motivated Machine Learning Engineer to join our team on a part-time basis in Mauren. As a Machine Learning Engineer, you will be responsible for developing and implementing machine learning algorithms and models to solve complex business problems. This position is perfect for someone without experience who is looking to gain practical experience in the field of machine learning.
Key Responsibilities:
- Research, design, and develop machine learning algorithms and models
- Train and test models using various datasets
- Collaborate with cross-functional teams to identify business problems and develop solutions
- Implement models into production systems
- Monitor model performance and make necessary adjustments
- Stay up-to-date with industry developments and advancements in machine learning
Requirements:
- Bachelor's or Master's degree in Computer Science, Mathematics, or related field
- Strong programming skills in Python or R
- Experience with machine learning libraries such as TensorFlow, Keras, or PyTorch
- Knowledge of data structures, algorithms, and statistics
- Excellent problem-solving skills
- Ability to work independently as well as in a team environment
Preferred Qualifications:
- Experience with natural language processing (NLP) and computer vision (CV)
- Familiarity with cloud computing platforms such as AWS or Google Cloud Platform
- Understanding of big data technologies like Hadoop or Spark
Perks:
- Competitive salary of 1800$ per month
- Part-time schedule that allows for flexibility and work-life balance
- Accommodation provided for non-local candidates
- Visa sponsorship for international candidates
If you are passionate about machine learning and want to gain practical experience while working on real-world problems, then this part-time position is perfect for you. Apply now and take the first step towards a successful career as a Machine Learning Engineer!
All vacancies from "Jing Hau" ⟶
views: 334
valid through: 2025-05-20