AI/Machine Learning Engineer (Python) (From Middle Level)

•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.
•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.
•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.
•Code Quality- Write clean, well- documented, and maintainable code, adhering to best practices in software development.
•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.
•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.

Must:
•Solid understanding of machine learning principles, including supervised, unsupervised, and reinforcement learning.
•Strong programming skills in implementing programs using Python.
•Experience from 3 years of professional hands- on experience as an AI Developer, Machine Learning Engineer, or similar role.
•Development experience with database technologies (SQL and NoSQL) and relational databases
•English skill: Intermediate
•Hands- on experience with cloud platforms (AWS, or GCP) and related services (e.g., S3, EC2, Lambda, SageMaker, Google AI Platform).
Preferable:
•Development experience using git, Jupyter notebook, and cloud
•Experience with project leads with multiple members
•Experienced growth in business using data AI
•Experience with containerization technologies (e.g., Docker, Kubernetes).
Recruitment Process: Test → 1st interview → Final interview → Offer

・Hybrid Working
・Premium Health Care (PTI Insurance)
・Referral Bonus
・15th Annual Leave
・Improve Skill Course (Udemy)
・Funeral Expenses
・Device Full Provide
・Career Path for members
・Flexible Working Time
Other Benefits
・Marriage / Baby Gift
Salary : 750$- 1900$
・Travel Allowance
Salary Increase : Salary Review (Twice a Year) 13th Salary
・Annual Health Check
・Happy Hour, Company Trip, Year End Party and Events
・Social Insurance with full salary

Cập nhật gần nhất lúc: 2025-10-17 18:40:02