Job Description
About Company
Your responsibilities:
- Deep Learning (with focus on computer vision problems)
- Reinforcement Learning
- Bayesian Optimization, Gaussian Processes
- Unsupervised Learning in the context of various SoC big data / optimization problems (e.g., minimize chip power, area).
- Coordinate with different functional teams to implement models and monitor outcomes
- Develop processes and tools to monitor and analyze model performance and data accuracy
- Take charge of the Technical Leader.
- Ability to communicate directly with clients and present the results of the work in a clear and concise manner, which earns the trust of clients.
- Participate in pre-sales and make suggestions to customers (AI / ML projects)
- Be able to propose and implement a specific solution which is a technical solution for customers.
Your skills & qualifications
The ideal candidate:
- Bachelor’s degree or higher in Computer Science, Information Technology or equivalent
- Strong passion for big data and data science
- Required 2+ year experience with the following areas: Python, TensorFlow, Machine Learning Fundamentals
- Knowledge of Deep Learning, hand-on experience with CNN is a plus.
- Experience implementing machine learning & analytics algorithms in classification, OCR, NLP is a plus.
- An amazing team player most important!
- Strong analytical and communication skills
- Good English or Japanese is plus.
Benefits for you
- Attractive Income! In addition to13th Month Salary, you have the opportunity to receive performance bonus, project bonus with other good benefits package.
- Consider increasing annual salary by proficiency
- Social insurance, health insurance, unemployment insurance in accordance with the current law.
- Chance to work in international projects, learn and get experience from most skilled American, German, Australian experts.
- Opportunity to go onsite at the brand office of the company in Japan
- Professional working environment and having chance to work with foreign colleagues.
- Holidays: Vietnam Public Holidays
- Learn and participate in courses organized by the company to support their capacity development.
- Frequent team-building activities and annual company trip.
- Fun and enjoyable environment
- Support for training costs, certification exams, opportunities for training, professional development, lunch support.
- Non-working days: Saturday and Sunday