Job Description

• Participate in working with functional units to identify needs with the team
• Participate in building overall and detailed solutions to solve problems with the team
• Participate in the model building and maintenance process: Cleaning data, analytic data, building model, testing model, sharing with business for feedback, deploying model, visualization, maintenance model, educating business and teams

Candidate requirements

Knowledge:

• Bachelor's degree in Information Technology, Telecommunications, Finance, Banking, Economics or equivalent

• Priority given to those with specialized certificates for DE, DS, DA

Experience:

• Understand basic techniques for making AI production products using NLP/LLM or CV or Graph AI technology.

• Proficient in Python/Java and at least one framework such as Pytorch or Tensorflow and related libraries.

• Master some basic algorithms of machine learning and deep learning.

• Experience with MLOps is an advantage.

• Have at least one year of experience in the position applied for.

Advanced requirements (depending on role): One of the following skills:

• Experience in solving and implementing graph analytics problems for big data.

• Developed at least 2 use cases on NLP/LLM.

• Developed at least 2 use cases on computer vision.

• Developed at least 2 graph use cases.

Soft skills requirements:

• Good ability to work independently: problem identification, problem solving, ability to withstand pressure

• Good teamwork skills: communication, presentation, persuasion, team building.

• Good English skills are an advantage (listening, speaking, reading comprehension).

• Having good academic performance or winning prizes in AI or math or coding competitions is an advantage.

• Being enthusiastic, passionate about work is an advantage.

Interest

1. Opportunity for personal development

• Working with a team of dynamic, enthusiastic, passionate and idealistic engineers and staff.
• Be listened to, respect personal opinions and views to exchange frankly, share and develop together.
• Trained by experienced leaders, clear career path orientation.
• Be assigned to attend new training courses and advanced training courses suitable to your abilities and aspirations.
• Recognize contributions and efforts promptly and accurately.

2. Treatment

• Competitive salary based on ability
• 13th month salary bonus
• The company fully performs its insurance obligations; maternity allowance, child allowance, wedding allowance, birthday allowance,...
• The company fully performs its insurance obligations; maternity allowance, child allowance, wedding allowance, birthday allowance,...
• Periodically review annual salary increases or suddenly based on evaluation.
• Supported with necessary equipment and tools to perform the job.
• Job-related certification allowance.

3. Rich spiritual life

• Professional, friendly and open working environment. Company members are close, united, caring and help each other to develop together.
• Participate in monthly teambuilding activities and annual travel.
• The company always encourages and creates the best conditions for all employees.