AI Data Engineer
Description For AI Data Engineer
Qode is seeking an experienced AI Data Engineer to join their team in Ho Chi Minh City. This role focuses on designing and implementing scalable data pipelines and AI systems. The ideal candidate will collaborate with cross-functional teams to develop AI solutions, deploy machine learning models, and drive innovation in AI applications. You'll work on cutting-edge projects involving data pipeline development, AI model deployment, and infrastructure automation. The position offers an opportunity to work with modern technologies including cloud platforms, machine learning frameworks, and various programming languages. This role combines technical expertise in AI/ML with practical engineering skills, making it perfect for someone passionate about advancing AI solutions in a production environment. The position requires strong analytical skills, cloud expertise, and the ability to translate complex technical concepts into business value.
Responsibilities For AI Data Engineer
- Design, build, and maintain scalable data transformation, ingestion, and storage pipelines
- Deploy machine learning and AI models into production environments
- Automate AI infrastructure to streamline development workflows
- Build AI models and transform machine learning models into APIs
- Conduct statistical analysis to interpret model results
- Run experiments and tests for machine learning models
- Partner with cross-functional teams for AI solutions integration
- Monitor and retrain systems for continuous improvement
- Translate complex AI outcomes into actionable insights
Requirements For AI Data Engineer
- Bachelor's or Master's degree in Computer Science, Data Engineering, AI, or related field
- 3+ years of experience in building data pipelines and deploying AI/ML models
- Proficiency in Python, Java, C++, or R
- Strong knowledge of statistics, calculus, and probability
- Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
- At least 3 years of experience with cloud services (AWS, Azure, or Google Cloud)
- Must hold relevant cloud certification
- Experience with NLP, computer vision, and AI model architectures
- Strong problem-solving and communication skills
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