Lead Climate and Agricultural Machine Learning Specialist

hace 12 horas


Bogotá, Bogotá D.E., Colombia Kilimo A tiempo completo
Job Summary

We are seeking a highly skilled Senior Machine Learning Engineer to join our team at Kilimo. As a key member of our organization, you will be responsible for designing, building, and optimizing scalable machine learning models for climate and agricultural applications.

The ideal candidate will have extensive experience in building and maintaining ML pipelines, as well as a deep understanding of modern machine learning frameworks. You will also have hands-on experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).

Key Responsibilities:

Model Development and Deployment
  • Design, build, and optimize scalable machine learning models for climate and agricultural applications.
  • Implement production-ready ML pipelines, including feature engineering, model training, and evaluation.
  • Deploy and monitor models in production to ensure performance and reliability.
MLOps and Data Integration
  • Develop automated systems for model retraining, versioning, and monitoring.
  • Integrate CI/CD workflows into ML pipelines to streamline development and deployment.
  • Collaborate with Data Engineers to ensure seamless integration of models into larger systems.
Domain-Specific Applications
  • Apply machine learning techniques to analyze climate, weather, and agricultural data.
  • Develop predictive models for crop growth, irrigation optimization, and environmental sustainability.
  • Utilize remote sensing data and satellite imagery for geospatial analysis and decision-making.
Research and Optimization
  • Stay updated on the latest trends in machine learning and apply state-of-the-art techniques.
  • Optimize models for performance, scalability, and accuracy in large-scale deployments.
  • Conduct experiments to test and validate hypotheses for ML-driven solutions.

About the Role

This is an exciting opportunity for professionals who are passionate about leveraging machine learning to advance sustainability and innovation in climate-smart agriculture. The successful candidate will work closely with our team to develop innovative solutions that drive business results and make a positive impact on the environment.

What We Offer

  • A competitive salary of $120,000 per year.
  • A comprehensive benefits package, including health insurance and family support.
  • Ongoing training and development opportunities to help you grow in your career.
  • A dynamic and inclusive work environment that values diversity and teamwork.
  • The chance to work on cutting-edge projects that have a real-world impact.


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