TaKe Group is inspiring new ways of thinking about and using bamboo; helping to create a sustainable cycle from planting to harvesting, into innovative products, their usage and final biodegradation.
Established to source and bring Japanese-inspired bamboo consumer products to market, TaKe has expanded its product lines and retail partnerships to offer a wider set of durable and takeaway products for business and consumer use.
Bamboo will be used for carbon capture and we will build a vertically integrated supply chain to produce products as locally to the market as possible using a high-tech focussed smart factory as a replacement for plastic across a range of verticals.
Responsibilities:
To analyse a range of mediums from assorted data points including spatial maps, weather patterns and hyperpectral images to assess suitability of land and soil while identifying bamboo/tree species to develop large language models for accurate analysis and predictions.
You will have experience developing large language models from scratch, training and deployment into live real-time environments ideally with some experience in species or recognition.
Being a part of an AI engineer role, designing and implementing requires handling massive datasets to train the algorithms. It is further used to learn and train the AI for cognitive tasks and subsequently to deploy.
Preferred Qualifications:
• Experience working with spatial-temporal datasets, remote sensing imagery, simulations, and time series analysis
• Experience working with species identification using AI / ML
• Ability to function well in a fast-paced research environment, set priorities to
accomplish multiple tasks within deadlines, and adapt to ever changing needs
• Motivated self-starter with the ability to work independently and to participate
creatively in collaborative teams
