AI Engineer
Self Leadership AI/Artificial Intelligence Teamwork
年収
Location
Job Overview And Responsibility
- Develop, apply, optimize, and integrate AI models for business and banking applications in areas such as Computer Vision and NLP. - Participate in service deployment stages: system architecture, model design, workflow, functionality, and performance optimization. - Perform coding, test metrics, service, and unit testing following DevOps and MLOps methodologies. - Research and study the latest scientific papers on AI, Machine Learning (ML), and Deep Learning (DL). - For talented students and freshers: participate in training programs and trainee projects aimed at development into official positions.
Required Skills and Experience
- Graduated from university in majors such as Information Technology, Computer Science, - - - Telecommunications Electronics, Software Engineering, Information Systems, etc. - Preference for candidates with at least 2 years of equivalent experience. - Knowledge and skills in one or more of the following areas: - Programming languages: Python, C/C++ - Service/Microservice development using frameworks like FastAPI, Flask, Django - TensorFlow, PyTorch, DGL, PyG, ONNX - APIs (RESTful/gRPC), secure programming, ensuring and optimizing performance - Git and Git Flow, Docker/Kubernetes, Kubeflow/MLFlow, Triton Server/TensorFlow Serving - Supervised learning, Reinforcement learning problems - Image processing (Computer Vision), Video, Audio, Natural Language Processing (NLP) - CNN, RNN, Transformer, Attention mechanisms; SVM, KNN, Clustering, GNN, etc. - Knowledge Distillation, Model Pruning, Model Quantization techniques.
Why Candidate should apply this position
- Benefits will be shared in details for successful candidates
Preferred skills and experiences
- Prioritize candidates who can onboard as soon as possible
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