Plants are the most efficient way to drawdown CO2.
We convert CO2 via plants into stable carbon and lock it away for 1000 years.
Producing carbon credits, heat and biochar.
We use a patented technology to convert this carbon from waste plant biomass and in the process release heat (renewable energy) and high-quality biochar (used for agricultural purposes and industrial uses).
AI / Automation Engineer (6 month- contract)
We're seeking a highly motivated and innovative AI/Automation Engineer to join our team on a short term 6 month contract. In this role, you'll work closely with various business units to identify opportunities for automation and AI integration, design and implement solutions, and ensure seamless operations.
Key Responsibilities:
- Identify Automation Opportunities: Analyze business processes to identify areas for automation and efficiency improvements.
- Design and Develop Automation Solutions: Develop and implement automation solutions using relevant tools and technologies.
- AI Integration: Explore and implement AI-powered solutions to enhance decision-making and problem-solving.
- Data Analysis: Analyze large datasets to extract valuable insights and inform data-driven decisions.
- Continuous Improvement: Continuously evaluate and optimize automation processes to maximize efficiency and effectiveness.
- Collaboration: Work closely with cross-functional teams to understand business requirements and deliver solutions that align with strategic goals.
Required Skills and Qualifications:
- Strong problem-solving and analytical skills
- Proficiency in programming languages (Python, etc.)
- Knowledge of automation tools (e.g., make/n2n, workflow automation)
- Understanding of AI concepts and machine learning techniques
- A passion for learning and a willingness to explore new technologies
- Excellent communication and interpersonal skills
- 1-2 years of relevant experience or a recent graduate with a strong academic background in computer science, engineering, or a related field
Nice to have:
- Experience with cloud platforms (AWS, Azure, GCP)
- Knowledge of data engineering and data science concepts
- Experience with natural language processing (NLP) or computer vision