Artificial Intelligence Engineer
4 days ago
Innovative Minds Wanted: Join our team of expert engineers as a Junior AI Engineer and play a key role in shaping the future of sustainable agriculture.
As a member of our cutting-edge AgTech team, you'll have the opportunity to work on projects that redefine how food is grown and consumed, making a real difference in the world.
The Role:
You will be responsible for building, training, and optimizing machine learning models for tasks such as crop health monitoring, yield prediction, and disease detection. Your expertise will help us optimize crop yields and resource efficiency in urban farming settings.
Your Key Responsibilities:
- Collaborate with the AI team to develop and deploy machine learning models
- Work with large datasets, including images and sensor data, to prepare high-quality inputs for AI model training
- Integrate AI models with real-time sensor data from IoT systems to automate environmental controls in vertical farms
- Track and improve the performance of AI models in real-world scenarios
- Stay up-to-date with the latest advancements in AI and apply cutting-edge techniques to real-world challenges
About You:
We're looking for candidates with a strong educational background in Computer Science, Engineering, Data Science, or a related field, with a focus on AI or machine learning. You should have proficiency in Python and ML libraries like TensorFlow, PyTorch, and Scikit-Learn, as well as foundational knowledge of machine learning algorithms and computer vision techniques.
What We Offer:
- Competitive salary: $120,000 - $180,000 per year, depending on experience
- Opportunities for career growth and professional development
- Collaborative and dynamic work environment
- The chance to work on innovative projects that make a real impact on sustainable agriculture
Why Choose INNOFarms?
We offer a unique opportunity to join a team of experts driving innovation in AgTech and shaping the future of urban farming. Our company culture values creativity, adaptability, and a passion for learning and applying AI to sustainable agriculture.
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