ARSEN Kawaijuku Tech Vietnam

Overview of job

• Involving in data science/AI projects from beginning to delivery. 
• Analyzing, proposing, developing, and evaluating solutions to solve our clients’ business problems.
• Collaborating with our PMs or other stakeholders to define project plan/ roadmap.
• Collecting, cleaning, and preparing datasets for modeling.
• Deploying and monitoring the AI systems. 
• Continuously learning to keep up with the rapid changes in the field of AI.

1. Annual health check-up.
2. Buy private health insurance from PVI, inpatient and  outpatient coverage.
3. 13th-month salary bonus and performance-based bonus.
4. Gasoline allowance: 800,000 VND/month.
5. Special leave: 1 paid day off on your birthday.
6. Flexible work arrangement: Work from home 2 days per week.
7. Team bonding activities: Happy Hour party every Friday (1 hour), Year-end party, and other company events.
8. Holiday and occasion gifts (wedding, Lunar New Year, Mid-Autumn Festival, etc.).
9. Support for online course fees (work-related training).

Specific requirements: 

• At least 5+ years of experience with programming in Python.  
• Experienced in working with LLM models, especially GenAI models.
• Experienced in working with cloud computing services (MS Azure, AWS…)
• Experienced with AI/ML algorithm research & development, preferably NLP field.
• Possessing excellent communication skills in English, (communicating sufficiently in Japanese is a plus). 
• Having a sufficient background in Mathematics, or Statistics. 
• Strong critical thinking and problem-solving abilities, being able to formulate AI solutions from business requirements.
• Being a good team player, willing to provide support to other members if needed. 
• Being flexible to participate in different parts of a project if required
• Experience in developing systems with database
• Hands-on experience with relational databases (RDB).
• Ability to design databases, including table structures, normalization, and indexing.
• Understanding of system development processes
• Familiarity with the full development lifecycle: requirements definition, basic design, detailed design, implementation, testing, and maintenance.
• Experience in creating design documents
• Ability to create various design documents such as basic and detailed design specifications, database design documents, and test plans.
• Problem-solving skills for system issues
• Ability to investigate and identify root causes of system failures or issues based on observed phenomena.

Preferable qualifications:

• Having a passion for the educational field.
• Experienced in developing or researching algorithms in the educational field.
• Experienced in modeling learning behavior data.
• Having an MS or PhD in Computer Science, Statistics, Mathematics, or relevant fields.
• Being familiar with designing REST APIs.
• Having a great desire to study the most leading-edge research.
• Experience with cloud-based development
• Development experience using cloud platforms such as AWS, Azure, or GCP.
• Knowledge of system security
• Understanding of common web vulnerabilities (e.g., SQL injection, XSS) and experience in implementing countermeasures.
• Experience in team-based development
• Familiarity with version control tools like Git and collaborative development workflows.
• Experience with code reviews and CI/CD pipelines.
• User-oriented development mindset
• Ability to design and improve systems based on user needs and usage scenarios.
• Documentation skills
• Ability to clearly document specifications and designs for smooth handover and team collaboration.
• Proactive in identifying and solving problems
• Strong communication skills and ability to collaborate effectively with team members
• Willingness to continuously learn and adapt to new technologies