Senior AI Engineer

2 days ago

Ho Chi Minh City, Ho Chi Minh, Vietnam FPT Play Full time

Description

  • Design, develop, and maintain advanced AI-powered applications on top of big data platforms.
  • Collaborate cross-functionally with data scientists, software engineers, and business stakeholders to deliver end-to-end AI solutions.
  • Implement robust AI engineering practices, including model deployment, monitoring, and performance optimization.
  • Build and optimize data engineering pipelines for training, evaluating, and serving AI models at scale.
  • Write clean, well-documented code that adheres to best software engineering practices.
  • Research, evaluate, and integrate new AI technologies and tools to enhance existing products and processes.
  • Ensure security, integrity, and reliability of data throughout the AI application lifecycle.
  • Troubleshoot and resolve technical issues in AI pipelines and applications.
  • Participate in architectural discussions and contribute to the technical roadmap.

Built AI-driven features such as:

Search
: Auto-suggestions and relevance ranking powered by trends and user behavior.

Recommendations
: Content-based and collaborative filtering models for personalized suggestions.

Chatbot
: Conversational assistant for interactive, personalized user support.

Text-to-Speech
: Natural voice generation to enhance accessibility and user experience.

Climax Detector
: AI model that analyzes video content to automatically identify emotional peaks and key dramatic moments.

Frame Finder
: Intelligent system for extracting the most representative or high-quality frames from videos for highlights, thumbnails, or previews.

Poster Auto
: Automated poster generation tool that selects key frames, composes layouts, and enhances visuals to create promotional materials.

Qualifications

  • Minimum 4 years of professional experience in AI engineering, Software engineering, Machine Learning, or related fields.
  • Bachelor's or Master's degree in Computer Science, Engineering, or related discipline.
  • Proven experience in AI engineering, including building, deploying, and maintaining AI applications.
  • Strong software engineering skills with proficiency in one or more languages: Python, Golang, …
  • Solid experience with data engineering, big data technologies (e.g., Hadoop, Spark), and distributed systems.
  • Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and their AI/Big Data services.
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and model operationalization (MLOps).
  • Excellent problem-solving skills and ability to work both independently and in a team environment.
  • Strong communication skills and a passion for building impactful AI solutions

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