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Mid-Level Data & Analytics Engineer

ALTEN MéxicoMexico City, Mexico City, Mexico
On-site Full-time

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Experience Level

Mid to Senior

Qualifications

QualificationsBachelor's degree in Computer Systems Engineering, Mathematics, Actuarial Science, Computer Science, or a related field. Desirable certifications in GCP related to Data Science, Data Engineering, ML, MLOps, or AI. Intermediate proficiency in English. A minimum of 3 years of experience. Experience with models in Python and Jupyter notebooks. Knowledge of model preparation for production, reproducibility, and versioning. Advanced skills in Python, SQL, and MLOps (Git). Intermediate understanding of ML algorithms, GCP (Vertex AI, BigQuery, Airflow, Cloud Functions/Run), data governance, and Data Lake/DWH architectures. Experience with CI/CD tools is a plus. Experience with Harness is desirable.

About the job

ALTEN México is seeking a skilled Mid-Level Data & Analytics Engineer with a focus on Machine Learning. The ideal candidate will possess expertise in standardizing models, preparing execution environments, versioning, and deploying solutions on Google Cloud Platform (GCP) while adhering to best practices in MLOps. Responsibilities include documenting, optimizing, and ensuring the 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.
  • Assist in preparing execution environments (Docker, requirements, configurations).
  • Adapt models for GCP services (Vertex AI, Cloud Run).
  • Create clear documentation on model execution, pipelines, and deployment procedures.
  • Propose technical improvements based on prior experience.
  • Design and implement machine learning pipelines tailored to the GCP ecosystem.
  • Ensure scalability for varying data volumes or request loads.

About ALTEN México

ALTEN México is a leading technology consulting and engineering company, dedicated to delivering innovative solutions in data analytics and machine learning. We aim to empower businesses with cutting-edge technology and expertise, fostering growth and efficiency in a rapidly evolving digital landscape.

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