1 việc làm machine learning engineer tại Hà Nội

Develop, Train, and Deploy Machine Learning Models:

• Transaction Analysis: Identify patterns and anomalies in transaction data, perform calculations, and translate data into actionable insights.
• Rating Report Creation: Automate and scale the rating report creation process, with flexibility to meet user-specific requirements.
• Enhanced Rating System: Utilize existing rating frameworks and market data to identify new insightful metrics, back-test them on historical records, and suggest improvements for the rating system.
• Real-Time Market and Sentiment Analysis: Monitor and interpret websites, blogs, and social media, integrating these findings with historical market data and events to estimate market impact and generate alerts.

Data Preparation and Model Evaluation:

• Collect, clean, and prepare data for modeling.
• Evaluate and improve the performance of machine learning models.
• Monitor deployed models and identify opportunities for improvement.

Collaboration and Communication:

• Collaborate with data scientists, software engineers, and product managers to understand business needs and translate them into technical requirements.
• Communicate with global customers to understand their requirements for specific AI/ML problems.

Stay Updated:

• Stay up-to-date on the latest advancements in AI/ML and related fields.

Job Requirement:

• Proven experience in developing and implementing machine learning models.
• Strong knowledge of machine learning algorithms and techniques, including supervised and unsupervised learning.
• Proficiency in Python, R, or other relevant programming languages.
• Experience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn.
• Knowledge of data processing and analysis techniques.
• Good communication skills in English to discuss with global customers.
• Familiarity with smart contracts and blockchain technology is a plus.
• Experience with big data technologies and cloud platforms is a plus.