Senior Machine Learning Engineer

Kilimo is seeking a Senior Machine Learning Engineer with a strong background in deploying and scaling machine learning models. The ideal candidate will bring extensive experience in building and maintaining ML pipelines, along with a deep understanding of modern machine learning frameworks, particularly in applications related to climate and agricultural domains.

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.
  
  

ML Operations (MLOps)

• 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.
  
  
  

Requisitos


Technical Skills

• 5+ years of experience in Machine Learning Engineering or a related field.
• Strong programming skills in Python and familiarity with frameworks like TensorFlow, PyTorch, or scikit-learn.
• Hands-on experience with ML pipeline tools (e.g., MLflow, Kubeflow, Airflow).
• Proficiency in cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Strong understanding of data preprocessing, feature engineering, and model evaluation techniques.
  
  

Domain Expertise

• Knowledge of climate science, agronomy, or related fields.
• Familiarity with datasets such as satellite imagery, weather patterns, or agricultural productivity metrics.
  
  

Educational Background

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field.
• Advanced certifications in Machine Learning, MLOps, or related areas are a plus.
  
  

Problem-Solving Skills

• Proven ability to design and implement efficient solutions for complex problems.
• Experience in optimizing machine learning workflows for performance and scalability.
  
  

Preferred Skills

• Familiarity with geospatial analysis and remote sensing technologies.
• Experience with big data frameworks (e.g., Apache Spark) is a plus.
• Understanding of ethical AI principles and practices.
  
  

Commitment to Impact

This role is ideal for professionals who are passionate about leveraging machine learning to advance sustainability and innovation in climate-smart agriculture.

Beneficios

• Work in an international company with global expansion.
• Remote work and flexible hours.
• Training program we support you in pursuing education and skills development in areas that interest you.
• Competitive salary and family health plan.
• We’re proud to be recognized as a Great Place to Work for the 4th year in a row!
• Analyze data to help create a future with water available for communities, ecosystems, and economic development!
  
  

Nacimos en 2016 en Córdoba, Argentina, con el propósito de transformar el valor del agua en la producción de alimentos.

Nos mueve generar acciones colectivas para lograr un futuro con agua disponible para las comunidades, los ecosistemas y el desarrollo económico.

Desarrollamos proyectos con impacto hiperlocal para dar respuesta a los desafíos hídricos que plantea el cambio climático.

Trabajamos con agricultores que adoptan buenas prácticas de riego a través de la tecnología y compañías que cuentan con metas de seguridad hídrica.

Nuestros Proyectos de Acción Climática conectan a estos dos actores y gracias a ellos estamos cuidando el agua en las cuencas más estresadas de Chile, Argentina, México, Perú y Brasil, entre otros países.

Nuestras oportunidades laborales están abiertas a todas las personas que quieran sumarse al desafío de transformar el valor del agua en la producción de alimentos

¡Súmate y sé parte!