Benefits

Job Description

Lead the strategy, design, and execution of AI initiatives across production and back-office departments.
Together build-up and supervise a team of AI/ML Engineers and Automation Specialists.
Develop and deploy AI Agents to automate manual tasks (e.g., report generation, quality inspection, ERP data analysis).
Identify opportunities for AI integration in production (e.g., defect detection via computer vision, demand forecasting).
Collaborate with departments such as manufacturing, sales, and HR to understand automation needs and deliver AI-based solutions.
Oversee the end-to-end lifecycle of AI models: data collection, model training, deployment, monitoring, and optimization.
Ensure AI systems are compliant with data privacy, cybersecurity, and ethical standards.
Evaluate new AI technologies, tools, and trends to improve automation and productivity.
Report AI performance to leadership.

1. Education:

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related fields.

2. Experience:

Minimum 3 years of experience in AI/ML, with team leading experience is strongly preferred.
Strong hands-on experience with ML/DL frameworks (e.g., TensorFlow, PyTorch), and AI agent frameworks (e.g., LangChain, AutoGPT, OpenAgents).
Proficiency in deploying AI models in production environments (cloud or on-prem).
Experience integrating AI with business systems such as ERP, MES, or CRM.
Experience with RPA tools (e.g., UIPath, Power Automate, OpenRPA) is a plus.

3. Knowledge:

Knowledge of Computer Vision applications for quality control and object detection.
Understanding of industry-specific AI applications and solutions.
Awareness of AI ethics, bias, fairness, and regulatory compliance.
Safe handling of data and model outputs.
Strong communication, leadership, and project management skills.
Ability to align AI initiatives with business goals and manage organizational change.

4. Skills:

Binh Duong

So 11, Duong so 6, KCN VSIP II, Thu Dau Mot, Binh Duong