AI Model Training Engineer

2 weeks ago


Ho Chi Minh City, Ho Chi Minh, Vietnam Vietsol - Pioneering Excellence in Mobility Engineering & Technology Full time ₫1,500,000 - ₫6,000,000 per year

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Position: AI Model Training Engineer

Location: Thu Duc, Ho Chi Minh

Contact: Phan Thuy Trang )

Responsibilities:

1.    Data Collection and Preparation:

  • Collect, curate, and annotate large datasets for training AI models.
  • Ensure data quality and integrity through preprocessing and cleaning.

2.    
Model Development and Training:

  • Design and implement machine learning models using various algorithms.
  • Knowledge to optimized model to fit with low configuration of AI inference machine.
  • Knowledge about data augmentation and it benefits to training.
  • Train models on prepared datasets and fine-tune parameters to enhance performance.
  • Utilize frameworks such as PyTorch, TensorFlow, or Keras for model development.

3.    
Performance Evaluation and Optimization:

  • Evaluate model performance using metrics like accuracy, precision, recall, and F1 score and knowledge about most of useful SOTA metrics.
  • Optimize models for efficiency and performance.
  • Conduct experiments to compare different models and approaches.
  • Experience in deploying ML/DL applications on specific embedded platforms (e.g., STM32 AI, NVIDIA Jetson, NXP, etc.) is a strong plus
  • Debugging skills for embedded targets is a plus
  • Experience with RTOS or Linux programming is a plus

4.    
Collaboration and Communication:

  • Work closely with data scientists, software engineers, and other stakeholders.
  • Communicate findings and progress to team members and management.
  • Collaborate on integrating AI models into existing systems and applications.
  • Knowing system integration is a plus.

5.    
Continuous Learning and Improvement:

  • Stay updated with the latest advancements in AI and machine learning.
  • Capability to read and understand SOTA papers.
  • Participate in workshops, conferences, and training sessions.
  • Implement new techniques and tools to improve model performance and development processes.

Qualifications:

  • Bachelor's Degree:
    In Computer Science, Data Science, Mathematics, Information Technology, or a related field.
  • Programming Languages:
    Proficiency in Python, Java, C++, and SQL.
  • Machine Learning:
    Strong understanding of machine learning algorithms and techniques.
  • Data Analysis:
    Ability to analyze and interpret large datasets.
  • Mathematics:
    Solid foundation in linear algebra, calculus, and probability.
  • Software Development:
    Knowledge of software engineering principles and practices.
  • Problem-Solving:
    Excellent problem-solving skills and the ability to troubleshoot issues with AI models.
  • Communication:
    Strong communication skills for effective collaboration and reporting
  • Edge AI
    : Knowledge background about efficient AI/edge AI is a plus

Benefits:

  • Good salary (includes base salary, additional salary, housing allowance, meal allowance, etc.)
  • 13th month salary + Incentive/performance bonus
  • Salary review twice a year
  • Lunch monthly support
  • Mon–Fri & alternative Saturday working schedule with 44 hours/week.
  • 12 annual leave days plus 1 birthday leave
  • Health care insurance
  • Training & career development program
  • Oversea working opportunities
  • Have opportunities to work on international projects.
  • Working in an international environment with experts around the world
  • Opportunities for career advancement to Team Leader, Group Leader, and Manager positions
  • Monthly budget for team activities, etc.

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