AI Model Training Engineer-Python, Java, C++

Data Collection and Preparation:

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

Model Development and Training:

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.
Knowledge to optimized model to fit with low configuration of AI inference machine.
Design and implement machine learning models using various algorithms.

Performance Evaluation and Optimization:

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

Collaboration and Communication:

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

Continuous Learning and Improvement:

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

Communication: Strong communication skills for effective collaboration and reporting.
Bachelor&039;s Degree: In Computer Science, Data Science, Mathematics, Information Technology, or a related field.
Machine Learning: Strong understanding of machine learning algorithms and techniques.
Programming Languages: Proficiency in Python, Java, C++, and SQL.
Software Development: Knowledge of software engineering principles and practices.
Mathematics: Solid foundation in linear algebra, calculus, and probability.
Edge AI: Knowledge background about efficient AI/edge AI is a plus.
Problem- Solving: Excellent problem- solving skills and the ability to troubleshoot issues with AI models.
Data Analysis: Ability to analyze and interpret large datasets.

Monthly budget for team activities, etc.
Working in an international environment with experts around the world.
Accommodation support if working at Hai Phong.
Annual salary review.
Training & career development program.
Have opportunity to work in Electric vehicle development project and testing with system/vehicle integration level.
Health care insurance (Bao Viet).
Mon–Fri & alternative Saturday working schedule with 44 hours/week.
12 days of annual leave plus 1 birthday leave.
Lunch monthly support if working at Hai Phong.
13th month salary + Incentive/performance bonus.
Oversea working opportunities.

Cập nhật gần nhất lúc: 2024-11-20 14:40:02