
AI Software Engineer – Agricultural Innovation
1 day ago
**Ecobloom Technologies: Pioneering AI-Driven Agricultural Solutions**
We are a leading innovator in the field of AI-driven agricultural innovation, developing intelligent monitoring solutions for controlled-environment agriculture. Our flagship product, EcoSense, leverages AI, machine learning, and advanced data processing to optimize yields and resource efficiency.
As we scale our technology, we are looking for an experienced AI software engineer to join our team and help drive innovation in predictive modeling, data analysis, and image-based crop monitoring.
**Key Responsibilities:**
- Develop and optimize machine learning models for predictive analytics in controlled-environment agriculture.
- Work on image processing and computer vision models to analyze plant health, growth patterns, and environmental conditions.
- Design and implement scalable data pipelines for collecting and processing sensor data from greenhouses.
- Deploy and maintain AI models using cloud platforms and cloud-based infrastructure.
**Requirements & Qualifications:**
- Strong proficiency in Python and experience with Django for backend development.
- Extensive experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Hands-on experience with image analysis and computer vision (e.g., OpenCV, CNNs, segmentation models).
- Solid knowledge of data science principles, predictive modeling, and time-series forecasting.
- Familiarity with Google Cloud Platform (GCP) and cloud-based AI deployments.
**Why Ecobloom?**
- Impact: Work on cutting-edge AI solutions that improve sustainability in food production.
- Innovation: Be part of a fast-growing company shaping the future of AI in agriculture.
- Collaboration: Join a passionate and driven team working at the intersection of AI and agritech.
- Flexibility: Hybrid/remote-friendly work culture.
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