Job summary We are seeking a skilled Python Data Engineer with experience in CI/CD to design and implement scalable data pipelines supporting machine learning models in production environments. Responsibilities - Design, construction, implementation and optimization or maintenance of data pipelines that are efficient, scalable, and automated to support data science workflows and machine learning models. - Management of the ML Model Lifecycle: Collaborate with data science teams to implement, automate, and manage the lifecycle of machine learning models (training, validation, deployment, monitoring, and tuning) using MLOps techniques. - Develop and maintain documentation for data pipelines, infrastructure, and processes. - Strong understanding of AWS. - Collaborate with data scientists to integrate machine learning models into production environments. - Cloud Integration (AWS): Deploy solutions in the cloud using AWS services such as S3, Lambda, among others, to manage large volumes of data and train models. - Management of DevOps Tools: Establish and maintain CI/CD pipelines for ML and data workflows using tools such as AWS CDK, AWS CodePipeline, AWS CodeBuild or similar. - Ensure data quality and reliability in machine learning workflows. - Work closely with DevOps and IT teams to ensure seamless integration of machine learning systems with existing infrastructure. Qualifications - 4+ years of experience in data engineering. - 4+ years of experience with AWS services. - Experience setting up CI/CD pipeline processes. - Experience with databases such as PostgreSQL and DynamoDB. - Knowledge with monitoring tools. - Experience with Python, SQL. - Experience with Compass Program using Python for data processing/transformation, NodeJS or TypeScript for backend and APIs, and AWS services including Lambda API, RDS, and data pipeline. - Minimum English B2. Desired requirements - Experience with AWS Sagemaker and CDK - Experience with Python Benefits - Location Medellín, Antioquia Country CO Descripción del trabajo Lorem ipsum dolor sit amet , consectetur adipiscing elit. Nullam tempor vestibulum ex, eget consequat quam pellentesque vel. Etiam congue sed elit nec elementum. Morbi diam metus, rutrum id eleifend ac, porta in lectus. Sed scelerisque a augue et ornare. Donec lacinia nisi nec odio ultricies imperdiet. Morbi a dolor dignissim, tristique enim et, semper lacus. Morbi laoreet sollicitudin justo eget eleifend. Donec felis augue, accumsan in dapibus a, mattis sed ligula. Vestibulum at aliquet erat. Curabitur rhoncus urna vitae quam suscipit , at pulvinar turpis lacinia. Mauris magna sem, dignissim finibus fermentum ac, placerat at ex. Pellentesque aliquet, lorem pulvinar mollis ornare, orci turpis fermentum urna, non ullamcorper ligula enim a ante. Duis dolor est, consectetur ut sapien lacinia, tempor condimentum purus. Obtén acceso completo Accede a todos los puestos de alto nivel y consigue el trabajo de tus sueños. Inscríbete ahora