Lead/Senior AI Engineer (Python/NLP/LLM)

AI engineer with solid AI and Data skills. Candidates to join Money Forward Vietnam will participate in a joyful, high competence and English speaking team to enhance quality for the company's products which are serving millions of people.

Responsibilities

• Design and Develop AI Models and Algorithms:
  • Create and implement artificial intelligence systems by designing and developing algorithms from scratch.
  • Work on tasks such as speech recognition, image processing, and decision-making processes within business applications.
• Integrate AI Solutions:
  • Implement AI solutions that integrate with existing business systems to enhance functionality and user interaction. This involves writing code, deploying models to production, and continuously monitoring and updating them as needed.
• Manage Data Flow and Infrastructure:
  • Handle the data flow and infrastructure necessary for effective AI deployment. This includes managing data pipelines, storage, and processing resources.
• Generative AI:
  • Collect and preprocess data to ensure it is suitable for training generative models. This may involve handling large datasets, augmenting data, and ensuring high data quality.
  • Fine-tune hyperparameters and deploy generative models into production environments.
  • Stay current with the latest advancements in generative AI, machine learning, and related fields.
• Collaborate Across Teams:
  • Collaborate with other teams to align AI initiatives with organizational goals. Effective communication and teamwork are essential for successful AI implementation.

Your Skills and Experience

• Bachelor or higher degree in Computer Science or related fields.
• At least 3 years of experience in machine learning, deep learning, NLP, and computer vision.
• Familiarity with AI frameworks such as TensorFlow or PyTorch.
• Proficiency in programming languages such as Python, and experience with AI frameworks like OpenAI’s GPT, Copilot, or similar.
• Proven experience in developing and refining prompts for AI applications.
• Experience with Large Language Models (LLM) and Retrieval-Augmented Generation (RAG) techniques is highly desirable.
• Proficiency in English communication.