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Job Description

We are looking for a highly capable Senior ML Engineer with a strong Software Engineering and DevOps background. As a Senior ML Engineer, you will be embedded and supporting a revenue generation or cost optimization project, ensuring its success in production by improving the code, creating automated CI/CD testing, and developing frameworks that can be reused for other similar projects.

Build, maintain, and document machine learning frameworks (python packages) used across multiple projects.
Support a project team with Data Scientists, Business Stakeholders, Analysts,



and Data Engineers.
Develop reusable feature stores for rules-based and AI/ML models.
Implement monitoring capabilities for model performance and effectiveness in production.
Automate CI/CD testing and deployments incorporating MLOps best practices.

Required:

Bachelor's degree in software engineering, computer science, data science, mathematics, or a related field.
5+ years of overall experience in Data Analytics.
Sharp critical thinking skills and ability to learn and question complex processes and solutions.
Experience building scalable machine learning systems and data-driven products working with cross-functional teams.
Experience creating python packages
Well-developed software engineering skills, including use of proper development, QA, and production environments, object-oriented programming, version control, and knowledge of multiple programming languages.
Proficiency in Python

📌 Machine Learning Engineer (Bogotá)
🏢 Capgemini Engineering
📍 Bogotá