Junior FullStack AI

Senior FullStack AI

• We are seeking an experienced Senior AI Engineer with strong expertise in Machine Learning, Natural Language Processing, and Computer Vision.
• This role will focus on training, deploying, and optimizing AI models to extract structured data from documents and images for large-scale production systems.

Responsibilities

• Design, train, fine-tune, and optimize AI/ML models, including LLMs.
• Build and maintain end-to-end data extraction pipelines for documents (PDF, scanned images, tables).
• Work directly with the AI models currently in production:
• Qwen3-30B-A3 for content understanding and document parsing.
• Surya-OCR and VietOCR for high-accuracy OCR from images/scanned documents.
• Named Entity Recognition (NER) for extracting key entities from text.
• Lite and Interpretable Language Transformer (LILT) for advanced OCR and document understanding.
• YOLOv5 for object detection in document layouts.
• Table Extraction for structured data retrieval from tables.
• Develop and manage MLOps pipelines, including CI/CD for AI models.
• Integrate AI models into production environments with a focus on performance and scalability.
• Research and experiment with new AI techniques to improve accuracy and efficiency.

• Technical Skills & Experience: 3–5+ years of experience in AI/ML engineering.
• Strong programming skills in Python with frameworks such as PyTorch, TensorFlow, HuggingFace Transformers, LangChain, etc.
• Proven experience in training, fine-tuning, and deploying LLMs (preferably Qwen, GPT, LLaMA, Mistral, etc.).

Hands-on experience with

• OCR models: Surya-OCR, VietOCR.
• NER, LILT, YOLOv5, Table Extraction.
• Experience with deploying AI pipelines on Cloud (AWS, GCP, Azure) or on-premise environments.
• Proficiency in CI/CD for AI/ML (GitLab CI, GitHub Actions, etc.).
• Familiarity with Vector Databases (Pinecone, Weaviate, Milvus) and RAG applications.

Preferred Qualifications

• Experience in optimizing model inference speed and reducing operational costs.
• Knowledge of containerization and orchestration (Docker, Kubernetes).
• Prior work in AI projects involving document processing, OCR, and visual data analysis.