SENIOR MACHINE LEARNING ENGINEER& DEVOPS SPECIALIST

Full time Tiempo completo

At kilimo we are looking for an experienced senior machine learning engineer & devops specialist with a solid background in deploying and scaling machine learning models and managing devops processes. the ideal candidate will have a proven track record in building and maintaining ml pipelines and expertise in devops practices to ensure seamless integration, deployment, and scalability of machine learning solutions. extensive knowledge of modern machine learning frameworks and strong devops skills, particularly within climate and agricultural domains, are essential. key responsibilities model development and deployment design, build, and optimize scalable machine learning models for climate and agricultural applications. implement production-ready ml pipelines, encompassing feature engineering, model training, and evaluation. deploy and monitor models in production environments to ensure performance, reliability, and scalability.design, build, and optimize scalable machine learning models for climate and agricultural applications. implement production-ready ml pipelines, encompassing feature engineering, model training, and evaluation. deploy and monitor models in production environments to ensure performance, reliability, and scalability. create and maintain databases through data lakes for efficient data storage and access. utilize and generate etls to extract, transform, and load data, ensuring compatibility and accessibility throughout the ml pipeline. mlops and devops integration develop and maintain automated systems for model r...

SENIOR MACHINE LEARNING ENGINEER& DEVOPS SPECIALIST

At kilimo we are looking for an experienced senior machine learning engineer & devops specialist with a solid background in deploying and scaling machine learning models and managing devops processes. the ideal candidate will have a proven track record in building and maintaining ml pipelines and expertise in devops practices to ensure seamless integration, deployment, and scalability of machine learning solutions. extensive knowledge of modern machine learning frameworks and strong devops skills, particularly within climate and agricultural domains, are essential. key responsibilities model development and deployment design, build, and optimize scalable machine learning models for climate and agricultural applications. implement production-ready ml pipelines, encompassing feature engineering, model training, and evaluation. deploy and monitor models in production environments to ensure performance, reliability, and scalability. create and maintain databases through data lakes for efficient data storage and access. utilize and generate etls to extract, transform, and load data, ensuring compatibility and accessibility throughout the ml pipeline. mlops and devops integration develop and maintain automated systems for model retraining, versioning, and monitoring using mlops best practices. design and implement ci/cd pipelines tailored for machine learning workflows to streamline development and deployment processes. manage infrastructure as code (iac) using tools like terraform or ansible to provision and maintain cloud resources. ensure robust monitoring, logging, and alerti...