23 hours ago be among the first 25 applicants get ai-powered advice on this job and more exclusive features. years of experience: 6 years of experience job overview we are looking for a senior python engineer with a strong background in software development, data engineering, ci/cd automation, and cloud deployment on aws. this role is essential for designing, building, and deploying ai models and scalable backend systems for industries such as airlines. the ideal candidate will combine experience in python, devops, cloud architecture, and machine learning operations, collaborating closely with data scientists, data engineers, architects, and product owners. responsibilities - design and implement ai-driven applications using python. - build and maintain efficient, scalable, and automated data pipelines to support machine learning workflows. - develop and deploy apis and microservices that integrate ml models into platform ecosystems. - manage the full ml lifecycle (training, validation, monitoring, and tuning) using mlops best practices. - apply devops practices (ci/cd, monitoring, automated testing) using tools like aws cdk, codepipeline. - deploy solutions in the cloud using aws services such as lambda, s3, glue, eventbridge, step functions and sagemaker. - monitor and troubleshoot production systems as needed. tecnical requirements - 3+ years of experience in backend development or data engineering. - 3+ years of hands-on experience with aws services. - 3+ years of experience in python - proven experience operationalizing ml models in production environments. - ...
23 hours ago be among the first 25 applicants get ai-powered advice on this job and more exclusive features. years of experience: 6 years of experience job overview we are looking for a senior python engineer with a strong background in software development, data engineering, ci/cd automation, and cloud deployment on aws. this role is essential for designing, building, and deploying ai models and scalable backend systems for industries such as airlines. the ideal candidate will combine experience in python, devops, cloud architecture, and machine learning operations, collaborating closely with data scientists, data engineers, architects, and product owners. responsibilities - design and implement ai-driven applications using python. - build and maintain efficient, scalable, and automated data pipelines to support machine learning workflows. - develop and deploy apis and microservices that integrate ml models into platform ecosystems. - manage the full ml lifecycle (training, validation, monitoring, and tuning) using mlops best practices. - apply devops practices (ci/cd, monitoring, automated testing) using tools like aws cdk, codepipeline. - deploy solutions in the cloud using aws services such as lambda, s3, glue, eventbridge, step functions and sagemaker. - monitor and troubleshoot production systems as needed. tecnical requirements - 3+ years of experience in backend development or data engineering. - 3+ years of hands-on experience with aws services. - 3+ years of experience in python - proven experience operationalizing ml models in production environments. - ...
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