• • Algorithm Development – Design, build, and optimize machine learning algorithms and models for various HR-related applications, such as candidate screening, talent matching, performance prediction, and sentiment analysis.
  • Cloud Infrastructure – Architect, develop, and deploy AI-related cloud infrastructure and services on platforms like AWS, Azure, or Google Cloud Platform. This includes setting up and managing data pipelines, model serving endpoints, and scalable computing resources.
  • Full Lifecycle Development – Take ownership of the entire machine learning lifecycle, from initial data exploration and feature engineering to model training, evaluation, and deployment in a production environment.
  • Collaboration – Work closely with product managers, data scientists, and other software engineers to understand business requirements, translate them into technical specifications, and deliver high-quality, impactful solutions.
  • Performance & Optimization – Monitor the performance of deployed models, troubleshoot issues, and continuously improve algorithms to enhance accuracy and efficiency.
  • Research & Innovation – Stay up-to-date with the latest advancements in AI, machine learning, and cloud technologies. Propose and experiment with new tools and techniques to keep our products at the forefront of the industry.
  • Code Quality – Write clean, well-documented, and maintainable code, adhering to best practices in software development.

Must:

• • Experience from 3 years of professional hands-on experience as an AI Developer, Machine Learning Engineer, or similar role.
  • Hands-on experience with cloud platforms (AWS, or GCP) and related services (e.g., S3, EC2, Lambda, SageMaker, Google AI Platform).
  • Solid understanding of machine learning principles, including supervised, unsupervised, and reinforcement learning.
  • Strong programming skills in implementing programs using Python.
  • Development experience with database technologies (SQL and NoSQL) and relational databases
  • English skill: Intermediate

Preferable:

• • Development experience using git, Jupyter notebook, and cloud
  • Experience with containerization technologies (e.g., Docker, Kubernetes).
  • Experienced growth in business using data AI
  • Experience with project leads with multiple members
  • Recruitment Process: Test → 1st interview → Final interview → Offer

• • Salary : Negotiable based on ability; CTO for Japanese market 1 round interview;
  • Salary Increase : Salary Review (Twice a Year) 13th Salary
    • Other Benefits
    • Flexible Working Time
    • Hybrid Working
    • Social Insurance with full salary
    • Travel Allowance
    • Premium Health Care (PTI Insurance)
    • 15th Annual Leave
    • Device Full Provide
    • Improve Skill Course (Udemy)
    • Happy Hour, Company Trip, Year End Party and Events
    • Marriage / Baby Gift
    • Funeral Expenses
    • Referral Bonus
    • Annual Health Check
    • Career Path for members

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