Machine Learning Engineer

The ideal candidate will have a strong background in Python, experience with Docker, and a
solid understanding of machine learning concepts. Familiarity with AWS is a plus.
Key Responsibilities:
• Operationalize data science and machine learning projects using Kubeflow.
• Implement machine learning algorithms and solutions using Python.
• Utilize Docker to containerize machine learning applications for consistent and
scalable deployment.
• Work closely with Data Scientists, Data Engineers, and ML- Ops- Engineers to
integrate machine learning solutions into production environments.
• Create comprehensive documentation for developed models and processes.
• Optimize machine learning models for performance, scalability, and maintainability.

• Proficiency in Python and its libraries (e.g., NumPy, pandas, scikit- learn, TensorFlow,
• Proven experience as a Machine Learning Engineer or in a similar role.
PyTorch).
• Strong understanding of machine learning concepts and algorithms (e.g., supervised
learning, unsupervised learning, neural networks).
• Very good command of English, both written and spoken.
• Familiarity with cloud platforms, preferably AWS (optionally).
• Excellent communication and collaboration skills.
• Strong problem- solving skills and attention to detail.
• Experience with Docker and containerization of applications.

Comprehensive benefits: FPTCare healthcare, annual health check, team building activities, and more.
Opportunity to work on international AI/ML projects using the latest technologies.
Attractive salary and performance- based project bonus.
Professional training programs and regular updates on emerging tech trends.
A supportive, innovative, and tech- driven work environment.

Cập nhật gần nhất lúc: 2025-07-11 23:55:02