AI/Machine Learning Engineer
19 hours ago
- Hybrid Working style and Flexible working time
- Competitive salary, bonus, expenses and allowances
- 15 days of paid leave + Health Care Insurance
- 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:
- 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
- Intermediate English level: Good for speaking & writing (able to meeting with foreigner partner)
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
- Annual Leave: 15 days/ year
- Flexible Working Time (Hybrid Working & Flexible Check-in)
- 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
- Full Device Provide: MAC equipment, Monitors,..
- Monthly Happy , Quarterly Team Bonding Party, Company Trip, Year End Party and Events
- Training Program to encouraging people development (Udemy accounts, Training Course,..)
- Marriage / Baby Gift/ Holiday espense
- Funeral Expenses
- Referral Bonus
- Skill Improvement Course for Employees (Udemy)
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