Algorithm Developer

We are on a mission to revolutionize the pig farming industry with our cutting-edge computer vision and AI solutions. Our precision livestock monitoring and growth optimization tools are setting new standards in farming efficiency and sustainability. Your Role As an Algorithm Developer at our company, you will be at the heart of our technological breakthroughs. You’ll design, implement, and optimize cutting-edge machine learning and computer vision algorithms, crafting solutions that empower farmers with real-time, actionable insights for enhanced livestock management.

What You'll Do:

• Develop and implement end-to-end solutions using the latest in machine learning and computer vision.
• Craft deep learning models using Python, with frameworks like PyTorch, TensorFlow, or Keras.
• Define and manage data collection and annotation processes, ensuring robust training and validation of our models.
• Work with talented cross-functional teams to seamlessly integrate your algorithms into FarmSee’s advanced monitoring systems.
• Keep your finger on the pulse of the latest advancements in computer vision and machine learning, bringing innovative ideas into our solutions.
  
  

Requirements:

What You Need:

• Bachelor's degree in Computer Science, Electrical Engineering, or equivalent.
• Minimum of 5 years of hands-on experience in Computer Vision, Machine and Deep Learning.
• Excellent understanding of Data Science concepts and methodologies.
• Solid understanding of classic image processing and computer vision methods.
• Proficiency in Python and experience with popular deep learning frameworks (PyTorch, TensorFlow, Keras).
• Ability to work independently with minimal supervision.
• Demonstrates a strong sense of accountability for tasks and outcomes.
• Ability to write high quality code in Python, including proficiency in object-oriented programming (OOP), design patterns, and software development best practices.
• Excellent communication and interpersonal skills, fostering effective collaboration with team members.
• Send us your CV and be a part of a forward-thinking team that’s pushing the boundaries of agricultural technology.