In this role, you will design, implement, and optimize advanced machine learning and computer vision algorithms that transform livestock management. You will work on solutions that provide real-time, actionable insights for farmers, improving efficiency and sustainability. Collaborating closely with cross-functional teams, you will integrate algorithms into production systems while staying up-to-date with the latest advancements in AI and computer vision. This is a hands-on role where technical excellence, innovation, and a practical focus on real-world impact are central to success. You will directly influence the technological evolution of precision agriculture and the broader field of AI-driven farming solutions.

Accountabilities
Develop, implement, and optimize end-to-end computer vision and machine learning solutions for livestock monitoring and growth optimization.
Build deep learning models using Python and frameworks such as PyTorch, TensorFlow, or Keras.
Define and manage data collection, preprocessing, and annotation processes for robust model training and validation.
Integrate algorithms into production systems, collaborating with software engineers, product managers, and other stakeholders.
Research and apply the latest computer vision and machine learning techniques to improve system performance and capabilities.
Ensure algorithms are scalable, reliable, and maintainable within production environments.
Requirements
Bachelor’s degree in Computer Science, Electrical Engineering, or a related field.
Minimum 5 years of hands-on experience in computer vision, machine learning, and deep learning.
Strong understanding of classical image processing and modern computer vision methods.
Proficiency in Python, with experience in object-oriented programming, design patterns, and software development best practices.
Experience with popular deep learning frameworks such as PyTorch, TensorFlow, or Keras.
Excellent problem-solving, critical thinking, and analytical skills.
Ability to work independently, manage tasks effectively, and take ownership of outcomes.
Strong communication and interpersonal skills for collaboration with cross-functional teams.
Benefits
Competitive compensation aligned with experience and qualifications.
Fully remote work across Europe, providing flexibility and autonomy.
Opportunity to work on cutting-edge AI and computer vision solutions with real-world impact.
Collaboration with a forward-thinking, innovative, and technically skilled team.
Professional growth opportunities and exposure to the latest AI research and industry developments.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.

🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.

🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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