AI Engineer

Công ty CP EduvatorQuận Bình Thạnh, Thành phố Hồ Chí Minhglintspublished 08/12/2026
Must-have:JavaScriptPythonAWSGoogle CloudCloudDataAISecurity

Role: AI ENGINEER Responsibilities

  • Design and develop data pipelines and ETL processes to collect, process, and store large-scale data from various sources, including user interactions, web logs, and sensor data.
  • Develop and maintain data architecture and infrastructure, ensuring scalability, reliability, and security of data storage and processing.
  • Build and deploy machine learning models and algorithms for personalized education and user experience, using technologies such as PyTorch, TensorFlow, or Scikit-learn.
  • Collaborate with product managers, UX designers, and software engineers to integrate AI applications into our website and smart devices, ensuring seamless user experience and optimal performance.
  • Monitor and optimize the performance of AI applications, using techniques such as A/B testing, performance analysis, and model tuning.
  • Stay up-to-date with the latest trends and developments in data engineering, machine learning, and AI, and apply them to our products and services.

Requirements

  • Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related field.
  • Minimum of 2 years of experience in data engineering, machine learning, deep learning, or software development, preferably in an edtech or related industry.
  • Strong programming skills in Python, Java Script, and experience with SQL,NoSQL, and vector databases.
  • Experience with ETL tools and frameworks, such as Databricks , Apache Spark, or AWS Glue.
  • Experience with machine learning frameworks and platforms, such as TensorFlow, PyTorch, or Scikit-learn.
  • Experience working with Generative AI APIs like OpenAI (ChatGPT), Google (Gemini), etc.
  • Experience with cloud platforms such as AWS or GCP.
  • Strong problem-solving skills, analytical skills, and attention to detail.
  • Excellent communication skills and ability to work in a team-oriented environment.
  • Experience with MLOps, cloud-based development, LLM is preferred.

Benefits

  • All kinds of insurance according to the provisions of Labor Law (Social insurance, health insurance, public holidays, maternity leave,...)
  • 12 days' annual leave
  • Accommodation allowance
  • Meal allowance
  • Sports club
  • Modern working facilities with high-configuration computers, Macbooks,...
  • Free parking, pantry, microwave, coffee maker,...
  • OT rate up to 2.0

Skills: Deep Learning, Redis, Pattern Recognition, Neural Network, Computer Vision, Natural Language Processing (NLP), Machine Learning, Data Mining, Data Engineering, Artificial Intelligence