




Job Summary: Join the IDS Comercial team as a Semi-Senior Data Engineer to collaborate on standardizing, documenting, and improving ML models and pipelines in an innovative environment. Key Highlights: 1. Collaboration on standardization and improvement of production code and models. 2. Design and implementation of scalable ML pipelines on GCP. 3. Dynamic work environment with access to cutting-edge technologies. 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 technologies. At least 3 years of professional experience Intermediate/Advanced English 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 standardizing: Code and notebook structure toward production-ready code. Managing model configurations and parameters. Versioning 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 professional development opportunities and continuous training. · This role offers a unique opportunity to contribute to our team’s success and grow professionally in an innovative environment.-Requirements- Minimum education: Higher education - Bachelor's degree 3 years of experience Keywords: data, data, engineer, engineers, engineer, ing, engineer, senior, sr
