AI Engineer / Machine Learning Engineer

•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.
•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.
•Performance & Optimization- Monitor the performance of deployed models, troubleshoot issues, and continuously improve algorithms to enhance accuracy and
•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.
efficiency.
•Code Quality- Write clean, well- documented, and maintainable code, adhering to best practices in software development.
•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.

•Hands- on experience with cloud platforms (AWS, or GCP) and related services (e.g., S3, EC2, Lambda, SageMaker, Google AI Platform).
•Development experience with database technologies (SQL and NoSQL) and relational databases
•Strong programming skills in implementing programs using Python.
• Pre intermediate English
•2+ years of professional hands- on experience as an AI Developer, Machine Learning Engineer, or similar role.
•Solid understanding of machine learning principles, including supervised, unsupervised, and reinforcement learning.
• Age : 25- 35
Preferable:
•Experience with project leads with multiple members
•Experienced growth in business using data AI
•Development experience using git, Jupyter notebook, and cloud
•Experience with containerization technologies (e.g., Docker, Kubernetes).

Salary : 30~45 mil gross
■Working time: Mon- Fri：8:00- 17:00 or 9:00- 18:00, Hybrid (3 days office, 2 days WFH)

■ Benefits :
- 100% Salary in Probation
- Salary Review (Twice a Year)
- 13th Salary bonus
- Marriage / Baby Gift
- Monthly Happy Hour, Company Trip, Year End Party and Events
- Funeral Expenses
- Annual Health Check
- Referral Bonus
- Flexible Working Time (Hybrid Working)
- Career Path for members
- Annual Leave: 15 days/ year
- Premium Health Care Insurance for employees (PTI)
- Social Insurance for 100% Salary
- Mac Provide, Monitor
- Travel Allowance

Cập nhật gần nhất lúc: 2026-01-03 17:35:03