AI/ML Engineer Internship (Climate-Tech & Nature Intelligence)
Company: Darukaa.Earth
Location: Hybrid / Remote (Mumbai preferred)
Duration: 3–6 Months (Flexible)
Internship Type: Paid (Learning-focused, performance-based growth opportunity)
Start Date: Immediate
Connecting the dots - Climate. Capital. Community. Code.
At Darukaa.Earth (www.darukaa.earth), we are a nature tech enterprise bringing radical transparency in nature & democratizing climate action through nature-based carbon and biodiversity finance.
We combine:
- Geospatial analytics, remote sensing
- Climate Modelling
- Vision Language Modelling (VLM)
- Bioacoustics monitoring
- Blockchain-enabled environmental finance
We are in a CATEGORY-DEFINING space working at the intersection of Nature, Technology, Finance and last mile impact; proud to have investors support from partners like IIT Bombay & IIM Vishakhapatnam.
Our value chains include:
- Nature Finance projects
- Turnkey projects for Biodiversity mapping & Nature conservation.
- SaaS offering for Environmental reporting
Internship Overview
We are inviting motivated undergraduate and postgraduate students from Computer Science and related technical disciplines to join us as Full Stack Developer Interns or AI/ML Engineer Interns. This internship is designed for students who wish to gain hands-on experience with production-grade systems, modern technology stacks, and real industry workflows beyond academic projects.
Key Responsibilities
- Build and maintain backend services and APIs (Python-based systems)
- Work with geospatial data, maps, dashboards, and large-scale datasets
- Integrate AI/ML model outputs into scalable backend systems
- Developing and fine tuning custom models based on requirements.
- Collaborate on cloud deployment, CI/CD pipelines, and system optimization
- Contribute to live platforms used in ongoing climate and biodiversity projects
Eligibility Criteria
- Currently pursuing a Bachelor’s or Master’s degree in: Computer Science / IT MCA ,Data Science / AI / related technical disciplines
- Strong fundamentals in programming (Python preferred)
- Good to have knowledge of GenAI, Agentic AI.
- Interest in full stack development, real-world systems, and applied technology
- Willingness to learn, experiment, and work in a fast-paced startup environment
What Students Will Gain:
Exposure to industry-standard
Key Responsibilities
- Develop and enhance frontend interfaces using modern JavaScript frameworks (e.g., React)
- Build and maintain backend services and APIs (Python-based systems)
- Work with geospatial data, maps, dashboards, and large-scale datasets
- Integrate AI/ML model outputs into scalable backend systems
- Developing and fine tuning custom models based on requirements.
- Collaborate on cloud deployment, CI/CD pipelines, and system optimization
- Contribute to live platforms used in ongoing climate and biodiversity projects
Why Join Us?
- Mission-Driven Work: Build solutions that tackle climate change and biodiversity loss.
- Long-Term Potential: This internship is an opportunity for a full-time role.
- Cutting-Edge Technology: Work at the intersection of geospatial data, AI, IoT, and sustainability.
- Collaborative Environment: Work alongside visionary technologists and environmental experts.
What Defines Our Culture?
At Darukaa.Earth, we don’t just build software—we create solutions that drive climate action.
Here’s what to expect from your colleagues:
- 10x Thinking, 10x Impact – We set ambitious goals and create outsized results.
- Meritocratic Utopia – Your contributions are recognized, and performance is rewarded.
- Daily Improvement – A culture of continuous learning and professional growth.
- Ownership Mindset – We believe in autonomy and encourage taking initiative.
- Bias Towards Action – We focus on solving critical problems efficiently.
- Effective Communication – We value clarity, transparency, and knowledge-sharing
Looking forward to your response. And will be happy to connect with you
Incase of any general query contact: ankita.dasgupta@darukaa.com
Technical query: harsh.kumar@darukaa.com