AI Manager

This AI Manager position is responsible for leading the development and deployment of AI-driven solutions across our production and office operations. This role will play a critical part in automating workflows, optimizing manufacturing processes, and reducing human dependency through the use of AI/ML technologies and intelligent agents. The scope is both a strategic thinker and a hands-on technologist with a proven track record in implementing AI automation in real-world business environments.

Key Responsibilities:

• Lead the strategy, design, and execution of AI initiatives across production and back-office departments.

• Build and manage a team of AI/ML and Automation functions.

• 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 strategy and results to leadership.

1. Education:

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

2. Experience:

• 5+ years of experience in AI/ML, with at least 2 years in a leadership or managerial role.

• 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:

• Aptitude for identifying and solving complex AI and data problems.

• Ability to convey technical information clearly and persuasively.

• Working cross-functionally with IT, business units, and product teams.

• Coaching team members and fostering continuous learning.

• Strong problem-solving skill.

• Strong English proficiency.