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.
RESPONSIBILITIES:
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.
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
To succeed in this role, essential skills include: proficiency in SQL, experienced with AWS, able to use Python, knowledge of phân tích dữ liệu and familiarity with sáng tạo.
We prioritize candidates with experience in Python Developer, Developer, Cloud Engineer, Software and CNTT khác.
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
Benefits provided by the company are: full phúc lợi cao, có việc làm hybrid, nhận thưởng tháng 13 và văn hóa công ty tốt.