0152 - Data & Analytics Engineer Mid

Description

Job Summary: We are seeking a Machine Learning Engineer to standardize, optimize, and ensure portability and scalability of models within the GCP cloud data ecosystem. Key Highlights: 1. Experience in standardizing ML models and MLOps practices. 2. Collaborate on code standardization and configuration management. 3. Design and implement ML pipelines tailored to GCP. At ALTEN Mexico, we are looking for a Machine Learning Engineer. The ideal candidate will have experience in model standardization, environment preparation, versioning, deployment on GCP, and best practices in MLOps. They will be responsible for documenting, optimizing, and ensuring portability and scalability of models within the cloud data ecosystem. **Main Responsibilities** * Collaborate on standardizing code structure, notebooks, and configuration management. * Manage versioning of dependencies, models, and artifacts. * Support preparation of execution environments (Docker, requirements, configurations). * Adapt models for GCP services (Vertex AI, Cloud Run). * Generate clear documentation on model execution, pipelines, and deployment procedures. * Propose technical improvements based on prior experience. * Design and implement ML pipelines adapted to the GCP ecosystem. * Ensure scalability for varying data volumes or request loads. **Requirements** * Degree in Computer Systems Engineering, Mathematics, Actuarial Science, Computer Science, or related field. * Desirable certifications in GCP related to Data Science, Data Engineering, ML, MLOps, or AI. * Languages: Intermediate English. * Minimum 3 years of experience. * Experience working with models in Python and notebooks (Jupyter). * Knowledge of model preparation for production, reproducibility, and versioning. * Advanced knowledge of Python, SQL, and MLOps (Git). * Intermediate knowledge of ML algorithms, GCP (Vertex AI, BigQuery, Airflow, Cloud Functions/Run), data governance, and Data Lake/DWH architectures. * Experience with CI/CD tools. * Desired: Experience with Harness. **Benefits** * Competitive base salary. * Major medical expense insurance (includes dental and vision). * 15 days of year-end bonus. * 25% vacation premium. * 12 vacation days from the first year. * Social security (IMSS). * Biweekly grocery vouchers.