Tóm tắt công việc
Key Responsibilities
AI ENGINEER
Work closely as a project team as the main contributor in the entire lifecycle of data science projects, from gathering business requirements to solution delivery, and deliver project outcomes to internal stakeholders or external customers.
Engages with clients to understand business needs, present findings, and align technical work with stakeholder goals.
Provides structured feedback to junior members, supports onboarding, and contributes to skill-building within the project team.
Developing scalable AI systems and designing/building algorithms that automate predictive data models.
Creating and managing the AI development and production infrastructure, including automating AI infrastructures for data science teams.
Participating in all phases of AI solutions development, from requirements definition and design to development, deployment, integration, maintenance, performance tuning, and monitoring.
Collaborating extensively with cross-functional teams, including data scientists,
software engineers, and product managers, to define project requirements, ensure seamless progress, and facilitate AI adoption and best practices.
Driving scalability improvements and introducing new capabilities in machine learning platforms, often working across the full stack on tools and infrastructure that empower machine learning teams.
DATA SCIENTIST
Work closely as a project team to lead in the entire lifecycle of data science projects, from gathering business requirements to solution delivery, and deliver project outcomes to internal stakeholders or external customers.
Engages with clients to understand business needs, present findings, and align technical work with stakeholder goals.
Owns planning of assigned modules, contributes to task breakdown, estimation, and milestone alignment, and supports backlog grooming discussions.
Leads development of a complete module or sub-system (e.g., full model training pipeline or certain solution direction). Can propose solution design, test, and iterate independently. Coordinates with project lead to align with project needs.
Proactively explores and evaluates new tools or methods relevant to the problem domain and integrates them into module-level components with minimal supervision.
Provides structured feedback to junior members, supports onboarding, and contributes to skill-building within the project team.
Proactive in contributing to the growth of internal capabilities (e.g., training, knowledge-sharing, framework design).
OUR PERKS!
05 working days/week (From Monday to Friday), applying flexible working hours
2 days of remote WFH per week (based on team's decision)
Lunch + Gasoline + Coffee Allowance
Health, Social and Unemployment Insurance (based on gross-based salary, according to the Labor Code) and PVI Health Insurance
13th-month salary and Performance bonus
Annual salary review
12 days annual leave plus extra 02 days of company leave
Company trips, sponsored team building, monthly Happy Hour, Sport Clubs (Soccer, Badminton, Pingpong, Yoga) and other joyful events;
A culture of relentless learning with free courses in specialized skills, soft skills, and English;
Yearly health-checkup;
Seniority benefits: allowance & PVI Health Insurance for family members
Technical-certificate bonus
Japanese-certificate bonus
Employee Referral Incentive
