Job Summary: Join our team as a Semi-Senior Data Engineer to collaborate on standardizing, preparing environments for, and documenting models, as well as proposing technical improvements in a dynamic environment. Key Highlights: 1. Dynamic and challenging work environment. 2. Access to cutting-edge tools and technologies. 3. Opportunities for professional development and continuous training. Join our team as a Semi-Senior Data Engineer at IDS Comercial, S.A. de C.V. · Requirements: Engineering or bachelor’s degree in a field related to information technology. At least 3 years of professional experience. English: Intermediate/Advanced. Experience: Experience working with models developed in Python and notebooks (Jupyter). Practical knowledge of: Preparing models for production. Best practices for reproducibility and versioning. Advanced: Python & SQL programming. MLOps (Git). Intermediate: Machine learning algorithms; Cloud platforms such as GCP and its AI tools (Vertex AI, BigQuery, Airflow, Cloud Functions/Run, etc.); Data Governance and Data Lake/DWH architectures; Experience with CI/CD pipeline tools. Desirable: Harness deployment tools. · Responsibilities Collaborate on standardization of: Code and notebook structure towards production-ready code. Management of model configurations and parameters. Versioning of dependencies, models, and artifacts. Support in: Preparing execution environments (Docker, requirements, configurations). Adapting models for GCP services (e.g., Vertex AI, Cloud Run). Generate clear and reusable documentation for: Model and pipeline execution. Relevant dependencies and configurations. Basic deployment and update procedures. Contribute to making models easier to maintain and operate in the future. Propose technical improvements based on prior experience. Design and implement ML pipelines tailored to the GCP ecosystem to ensure model portability and efficiency. Ensure scalability of processes for varying data volumes or request loads. · Benefits We offer a dynamic and challenging work environment. You will have access to cutting-edge tools and technologies. Access to opportunities for professional development and continuous training. · This role offers a unique opportunity to contribute to our team’s success and grow professionally within an innovative environment.-Requirements- Minimum education: Higher education – Bachelor’s degree 3 years of experience Keywords: data, datos, engineer, engineers, ingeniero, ingeniera, ing, senior, sr