AI Engineer/ Machine Learning Engineer
Summary
Build and deploy ML models for HR tasks like candidate screening and talent matching, using Python and cloud platforms (AWS/GCP).
- 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.
SKILLS EXPERIENCE REQUIREMENTS
- Age : 25-35
- Pre intermediate English
- 2+ 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
- 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
Working time: Mon-Fri8:00-17:00 or 9:00-18:00, Hybrid (3 days office, 2 days WFH)
Benefits :
- Annual Leave: 15 days/ year
- Flexible Working Time (Hybrid Working)
- 100% Salary in Probation
- Salary Review (Twice a Year)
- 13th Salary bonus
- Social Insurance for 100% Salary
- Travel Allowance
- Premium Health Care Insurance for employees (PTI)
- Annual Health Check
- Mac Provide, Monitor
- Monthly Happy Hour, Company Trip, Year End Party and Events
- Marriage / Baby Gift
- Funeral Expenses
- Referral Bonus
- Career Path for members
Quyền lợi ứng viên: Phúc lợi cao, Thưởng Tháng 13, Văn Hóa Công Ty Tốt, Việc làm hybrid
Yêu cầu hồ sơ:
Từ khóa việc làm: Cloud Engineer, CNTT khác, Developer, Python Developer , Software
Kỹ năng cần có: AWS, Phân tích Dữ liệu, Python, Sáng Tạo, SQL
Kinh nghiệm làm việc: Từ 2 đến 3 năm
Giới tính: Không yêu cầu