Data Engineer wanted for Smart Agri-Tech Solution

I am looking for a Data Scientist / ML to join as a Co-Founder and develop AI-powered models that provide smart insights for farmers, helping optimize resources, automate processes, and drive precision agriculture.

Required Skills & Qualifications:
• Strong experience in Machine Learning, Deep Learning, and Data Science.
• Proficiency in Python (NumPy / Pandas / TensorFlow / PyTorch / Scikit-learn).
• Experience with geospatial data and GIS tools (PostGIS / GeoPandas / Google Earth Engine).
• Knowledge of big data technologies (Apache Spark / Dask / Kafka).
• Expertise in cloud-based AI/ML development (AWS / GCP / Azure).
• Familiarity with MLOps, model deployment, and API integration.
• Experience with satellite imagery, IoT sensor data, or time-series forecasting is a plus.
• Very good speaking and writing level of English must have.

You have strengths in...

• numbers, data and logic

• Design and develop AI/ML models for soil health analysis, crop monitoring, weather prediction, and resource optimization.
• Work with large datasets, including geospatial, IoT, satellite, and historical farming data.
• Implement and optimize predictive and prescriptive analytics to support decision-making in agriculture.
• Preprocess, clean, and analyze structured and unstructured agricultural data.
• Develop and maintain data pipelines for real-time and batch processing.
• Work with cloud-based data storage, ETL, and big data processing frameworks.
• Train, evaluate, and fine-tune models for accuracy, scalability, and efficiency.
• Deploy models into production using MLOps best practices.
• Collaborate with software engineers to integrate AI-powered insights into mobile and web applications.
• Experiment with deep learning, computer vision, and remote sensing technologies for crop health assessment.
• Optimize algorithms for low-latency inference and real-time decision-making.

1. Join as a Co-Founder:
• This is more than just a job – it’s a chance to become a co-founder in an impact-driven agri-tech startup.
• Take an active role in shaping the vision, strategy, and technology from the ground up.

2. Commitment & Dedication:
• As a co-founder, you must be available to work at least 6 hours per day, Monday to Friday.
• You should be reachable between 09:00 – 17:00 (Berlin time zone, CET) to collaborate effectively.
• We need someone who is fully engaged and ready to drive the startup forward.

3. Vision-Driven Startup:
• Be part of an innovative agri-tech solution that helps farmers optimize resources, automate processes, and make data-driven decisions.

4. Exciting Tech Challenges:
• Work with cutting-edge AI, IoT, GIS, and big data solutions in a real-world agricultural setting.

5. Ownership & Growth:
• Opportunity to take on a leadership role and have a real stake in the company’s success.
• Potential for equity options and long-term growth within the startup.

6. Dynamic & Collaborative Work Culture:
• Work in a flexible, innovation-driven environment where your ideas truly matter.
• Direct collaboration with experts in agriculture, data science, and engineering.

7. Work-Life Flexibility:
• While a startup requires dedication, we promote a results-driven, flexible work environment.
• Work remotely with the freedom to structure your time efficiently.

8. Learning & Skill Development:
• Exposure to AI, big data, IoT, GIS analytics, and modern cloud-based architectures.
• Opportunity to experiment with new tech and continuously up-skill.

9. Real-World Impact:
• Help farmers increase efficiency, reduce costs, and embrace sustainability using smart tech.
• See your work directly impact agricultural productivity and food security.

If you’re ready to fully commit, bring innovation to the agricultural sector, and shape the future of smart farming, let’s build something great together! 🌱

Providing farmers with smart technology to optimize operations, maximize yields and make data-driven decisions for a sustainable future.

An intelligent agri-tech solution - a smart assistant for farmers and small private farms that helps optimize farm operations and costs, automate processes and make decisions based on data analysis.

The platform uses IoT, artificial intelligence and geospatial analytics to provide real-time information on soil health, fertiliser use, crop growth and weather forecasting. By integrating advanced data analytics, automation and statistics, we help farmers increase efficiency, reduce costs and risks, and improve sustainability.

Challenges

Multi-Platform Development:
- Developing a seamless experience across iOS, Android, and a web platform.
- Ensuring real-time data synchronization and a user-friendly UI across all devices.

Data Collection & Accuracy:
- Integrating reliable soil, weather, and crop data sources.
- Ensuring accurate IoT sensor data processing for precise farm insights.

AI & Machine Learning Implementation:
- Developing predictive models for crop health, fertilizer usage, and weather forecasting.
- Training AI to provide actionable recommendations based on real-world farm conditions.

Expert Consultation & Scientific Validation:
- Gathering insights from biologists and chemists to ensure the accuracy of soil analysis, fertilizer recommendations, and plant growth predictions.
- Collaborating with agronomists, GIS specialists, and data engineers to refine algorithms and ensure the platform provides scientifically backed insights.

User Adoption & Education:
- Making the platform accessible for both large-scale farmers and small private gardeners.
- Educating users on how to effectively use digital tools in traditional agriculture.

Scalability & performance:
- Ensure efficient processing of large amounts of farm data.
- Expand to different regions and climates with diverse agricultural needs.

Business Growth & Funding:
- Securing the right investors and partners to bring the idea to life.
- Building a sustainable business model that benefits both users and stakeholders.

Target group

Farmers & Agricultural Businesses:
- Small, medium, and large-scale farmers
- Vineyards, orchards, vegetable & grain producers
- Agribusiness owners looking for data-driven solutions

Agronomists & Agricultural Consultants:
- Experts advising on soil health, crop management, and fertilizers
- Specialists in sustainable and precision farming

Private Gardeners & Hobby Growers:
- Individuals growing vegetables, fruits, or herbs in their gardens
- Small-scale urban and suburban gardeners looking for smart farming insights

Agri-tech Companies & Agribusiness Startups:
- Companies working in IoT, AI, GIS, and data analytics for agriculture
- Startups looking for partnerships in farm automation and optimization

Government & Agricultural Organizations:
- Agencies supporting smart farming, sustainability, and food security
- NGOs and initiatives focused on climate-smart agriculture

Investors & Venture Capitalists:
- Investors interested in agri-tech, AI, and sustainability-focused solutions