AI Engineer Công Ty TNHH Thương Mại Điện Tử Gobuy Việt Nam

We are seeking a skilled and motivated AI Engineer to join our innovative team at Talent Fusion. This position plays a critical role in designing, developing, and deploying AI-driven solutions to enhance our recruitment platform. If you have a strong foundation in Natural Language Processing (NLP), Natural Language Understanding (NLU), and Named Entity Recognition (NER), we would love to hear from you.

Responsibilities:

• Participate in product development of GoJob Vietnam.
• Design, develop, and implement AI models focused on NLP, NLU, and NER to process, analyze, and extract meaningful insights from recruitment-related data.
• Collaborate with cross-functional teams (data scientists, software engineers, and product managers) to integrate AI solutions into our recruitment platform.
• Build and optimize machine learning pipelines for tasks such as resume parsing, job-candidate matching, recommendation engines, and skills extraction.
• Continuously fine-tune models to improve performance, scalability, and accuracy in real-world scenarios.
  Explore and apply state-of-the-art techniques in deep learning and transformer-based architectures (e.g., BERT, GPT, etc.) to enhance NLP capabilities.
• Develop APIs to expose AI functionalities for seamless integration with microservices architecture.
• Monitor, debug, and improve deployed AI systems to ensure they meet performance and reliability standards.
• Stay updated on industry trends, emerging technologies, and advancements in AI to recommend and implement innovative solutions.

• A dynamic, collaborative, and innovative working environment.
• Opportunities to work on cutting-edge AI projects impacting the recruitment industry.
• Competitive salary and performance-based bonuses.
• Continuous learning opportunities, including training and certifications.
• Flexible working hours and a hybrid working model.

Qualifications:

• Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Experience: At least 5 years of hands-on experience working with AI technologies, with a strong emphasis on NLP, NLU, or NER projects.

Skills:

• Proficiency in Python and frameworks such as TensorFlow, PyTorch, or Hugging Face.
• Experience with NLP libraries like spaCy, NLTK, or transformers.
• Knowledge of transformer-based models like BERT, RoBERTa, or GPT.
• Familiarity with large-scale data preprocessing, annotation, and training pipelines.
• Understanding of database systems (SQL/NoSQL) and data structures for efficient model integration.
• Experience deploying AI models in cloud environments (e.g., AWS, Google Cloud, Azure).
• Strong problem-solving skills and the ability to work in an agile environment.

Preferred Qualifications:

• Hands-on experience with NER and custom entity recognition models in real-world applications.
• Knowledge of microservices architecture and integrating AI into distributed systems.
• Experience working with recruitment platforms or similar data-intensive domains.
• Familiarity with Docker, Kubernetes, and CI/CD pipelines for deploying AI solutions.