Job Description:

Participate in the development, application, optimization, and integration of AI models for real-world Business/Banking problems in areas such as Computer Vision, Natural Language Processing (NLP), etc.
Contribute to various service deployment phases: system architecture, operational model design, workflow, functional design, and performance optimization.
Participate in coding, metric testing, service development, and unit testing in alignment with DevOps and MLOps methodologies.
Research and explore the latest scientific publications in Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).
Join training programs and trainee projects with the goal of progressing to official/full-time positions.

Job Requirements:

Final-year student or recent graduate (within 1 year) in relevant majors: Information Technology, Computer Science, Electronics & Telecommunications, Software Engineering, Information Systems, etc.
Candidates should have knowledge in one or more of the following areas:

Programming languages: Python, C/C++
Service/Microservice development using one of the frameworks: FastAPI, Flask, or Django
AI/ML frameworks: TensorFlow, PyTorch, DGL, PyG, ONNX
APIs: RESTful, gRPC; secure coding practices with performance optimization
Version control & deployment tools: Git (Git Flow), Docker, Kubernetes, Kubeflow, MLflow, Triton Inference Server, TensorFlow Serving
Machine learning problem types: Supervised Learning, Reinforcement Learning
Data types & processing: Image (Computer Vision), Video, Audio, Natural Language (NLP)
Model architectures & algorithms: CNN, RNN, Transformer, Attention, SVM, KNN, Clustering, GNN, etc.
Model optimization techniques: Knowledge Distillation, Model Pruning, Model Quantization

MB Trainee - AI Engineer (Fresher, Intern) - Khối Công nghệ thông tin (HOLT.14)

Backend / DevOps (Fresher/Intern)