Requirements:

• 3+ years of working experience managing IT or software development projects as a Project Manager
• Proven track record of handling AI, ML, or Data initiatives is strictly required
• Solid grasp of core AI domains including NLP, LLM, Computer Vision, Deep Learning, and Machine Learning
• Well-versed in the end-to-end AI lifecycle, covering data collection, model training, evaluation, deployment, and ongoing monitoring
• Hands-on practice using project and development tools such as Confluence, JIRA, Git, and CI/CD pipelines
• Excellent English communication abilities combined with effective stakeholder management
• Prior exposure to major cloud infrastructures like AWS, GCP, or Azure is an advantage
• Holding industry certificates such as Scrum, PMP, or PMI-ACP is considered a bonus
• A technical foundation in Software Engineering, Data, or AI will be advantageous
• Experience overseeing LLM or GenAI implementations is a nice-to-have
• Familiarity with data pipelines and MLOps practices is highly beneficial

• Adjustable check-in/out times
• At least 12 annual paid days off for staff members upon passing the probationary period
• Flexible early leave arrangements supported by company policy
• Work performance review 2 times/ year
• 13th-month annual bonus
• Standard Monday-to-Friday workweek. Overtime is fully compensated at premium statutory rates in strict accordance with current labor laws.
• Financial bonuses for national holidays, outstanding team/individual achievements, and a performance payout ranging from 0.5 to 1 month's wage
• Special allowances for occasions
• Quarterly team-bonding events, annual company vacations, sports days, and Year-End Gala,...
• Monthly Happy Hours to connect and socialize with co-workers
• Contemporary office setting with a youthful, welcoming crew, plus complimentary beverages (drinks, tea, coffee)
• Complimentary classes covering soft skills (communication, presentation) and technical expertise, alongside foreign language programs
• Premium access to comprehensive digital learning platforms featuring extensive educational materials
• Engagement in tech talks, seminars, and workshops led by both external professionals and internal specialists
• Chance to collaborate with tech experts behind high-traffic, large-scale systems. Continuous enhancement of professional and soft competencies via on-the-job training.