AI Model Training Engineer | Vietsol - Pioneering Excellence in Mobility Engineering & Technology · Teeming.ai
Sign In Sign Up
Vietsol - Pioneering Excellence in Mobility Engineering & Technology Vietsol offers engineering services and AI-powered solutions for automotive and smart manufacturing. It combines embedded software, EE integration, MBSE, and software-in-the-loop to support OEMs and…Show more
Vietsol - Pioneering Excellence in Mobility Engineering & Technology Vietsol offers engineering services and AI-powered solutions for automotive and smart manufacturing. It combines embedded software, EE integration, MBSE, and software-in-the-loop to support OEMs and…Show more
AI Model Training Engineer On-Site Phường Long Biên, Hanoi, VN
On-Site • Phường Long Biên, Hanoi, VN See Job Save Job Perfect for this job?Startup jobs. A lot of them. Your next opportunity is in here somewhere. Sign up to explore 70,000+ startups and their open roles. No spam. No gamification. Just jobs.
Get started
Full-time Amsterdam, NL
Full-time • Amsterdam, NL Internship Amsterdam, NL
Internship • Amsterdam, NL Internship Tel Aviv
Internship • Tel Aviv Contract Munich, DE
Contract • Munich, DE Part-time Utrecht, NL
Part-time • Utrecht, NL Machine Learning Engineer Contract Niš, RS
Contract • Niš, RS
Position: AI Model Training Engineer
Location: Long Bien, Ha Noi
Contact: Phan Thuy Trang (Trangpt@vietsol.com.vn)
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:
Benefits:
Good salary (includes base salary, additional salary, housing allowance, meal allowance, etc.)
13th month salary + Incentive/performance bonus
Salary review twice a year
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
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.