AI Model Training Engineer
2 days ago
Position: AI Model Training Engineer
Location: Long Bien, Ha Noi
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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