Machine Learning Engineer

Job Description:
1. Extraction and analysis of large data sets from database.
2. Design and implement software systems and tools for internal process automation based on data mining and machine learning techniques.
3. Assist in deploying models into production systems and ensure their stability.
4. Work with cross-functional team, providing technical insights to help the team understand the applications and limitations of machine learning.

Requirements:
1. Master’s degree in Computer Science, Statistics, Mathematics, Electrical Engineering, or related field (or equivalent practical experience).
2. Proficiency with Linux environments, including shell scripting and system operations.
3. Proficiency with Python and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
4. Proficient in working with container-related platforms and operations (e.g., Docker).
5. Understanding in ML, including knowledge of the mathematical underpinnings behind various methods (e.g. regression techniques, neural networks, decision trees, clustering, pattern recognition, dimensionality reduction).
6. Solid knowledge of SQL and experience working with large-scale data from databases.
7. Excellent communication and collaboration skills, with a strong ability to work effectively in cross-functional teams.

【Nice-to-Have】
1. Experience working with graph data and graph databases (e.g., Neo4j).
2. Practical experience applying anomaly detection or fraud detection in real-world production environments.
3. Strong problem-solving skills with the ability to design practical solutions to complex data challenges.