Senior 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.