AI Computer Vision Engineer - Plant Monitoring Systems

Duration: 6 months 

Start Date: Flexible 

Location: Bali, Indonesia 

Program: Ex Venture Academy 

Position Overview 

Join the Ex Venture Academy team at Lemnamat to develop advanced computer vision systems for monitoring duckweed growth, health, and quality in real-time. This elite internship offers hands-on experience creating AI-powered visual monitoring solutions that optimize cultivation conditions and automate quality assessment. 

AI Focus Areas 

Through Ex Venture Academy's structured learning approach, you will:

• Develop computer vision algorithms for plant growth monitoring and analysis
• Implement machine learning models for automated plant health assessment
• Create image processing pipelines for biomass quantification and quality evaluation
• Design real-time monitoring systems that integrate with automated cultivation controls
• Build predictive models for growth rate optimization and harvest timing 

Responsibilities

• Assist in developing computer vision algorithms for duckweed monitoring
• Help implement image processing pipelines for growth and health assessment
• Support the integration of vision systems with the cultivation platform
• Collect and prepare image datasets for machine learning model training
• Contribute to the development of automated quality control systems
• Participate in Ex Venture Academy's AI skill development workshops 

Qualifications 

• Currently pursuing or recently completed a degree in Computer Science, AI, Computer Vision, or a related field 
• Strong academic record with a minimum GPA of ./. or equivalent
• Experience with computer vision libraries (OpenCV, TensorFlow, PyTorch)
• Knowledge of machine learning and deep learning techniques 
• Programming skills in Python and relevant AI frameworks 
• Understanding of image processing fundamentals 
• Interest in agricultural applications of AI technology 
• Entrepreneurial mindset aligned with Ex Venture Academy's values 

Application Process 

Applications are managed through the Ex Venture Academy portal at www.exventure.co/apply with the following requirements: 

• CV/resume highlighting relevant AI projects and experience 
• Academic transcript 
• Cover letter explaining your interest in AI for agricultural automation • Portfolio of relevant computer vision or AI projects 
• One letter of recommendation from a professor or project supervisor • Completion of Ex Venture Academy's online assessment 
• Availability for a video interview