Senior Machine Learning Developer for Greenhouse Automation

1 day ago


Stockholm, Stockholm, Sweden Ecobloom Technologies Full time

**Driving Innovation in Controlled-Environment Agriculture**

EcoBloom Technologies is a pioneer in AI-driven agricultural innovation, empowering growers with real-time insights into crop health, climate conditions, and predictive analytics. Our flagship product, EcoSense, optimizes yields and resource efficiency using AI, machine learning, and advanced data processing.

We are seeking a senior machine learning developer to join our team and contribute to the development of innovative AI solutions for greenhouse automation.

**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.


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