Data Engineer (Machine Learning Operations)

TL;DR

Data Engineer (Machine Learning Operations): Building and optimizing data pipelines and MLOps infrastructure for client projects with an accent on GCP services, machine learning lifecycle, and production challenges. Focus on designing robust CI/CD pipelines, implementing model monitoring, and ensuring automated retraining for ML models.

Location: Must be based in Portugal and available to work in a hybrid model twice a week in Alfragide offices, Lisbon.

Company

hirify.global is a consulting firm focused on connecting tech professionals with national and international partners across diverse sectors.

What you will do

• Consult on data engineering and MLOps solutions for various clients.
• Design and implement scalable data pipelines leveraging GCP services.
• Develop and maintain MLOps infrastructure to support machine learning models in production.
• Implement robust CI/CD practices for continuous integration and delivery of ML systems.
• Configure and manage model monitoring, drift detection, and automated retraining mechanisms.

Requirements

• Strong experience (3-5 years) as a Data Engineer or MLOps Engineer.
• Proficiency with GCP services including BigQuery, Cloud Storage, Dataflow, Pub Sub, and Vertex AI.
• Excellent skills in Python and SQL.
• Hands-on experience with CI/CD tools and infrastructure as code (Terraform).
• Familiarity with Docker and Kubernetes.
• English: B2 level required, and fluency in Portuguese.
• Location: Must be based in Portugal and available for hybrid work in Alfragide, Lisbon.

Culture & Benefits

• Receive a welcome kit upon joining.
• Access opportunities for career progression and personalized support from a dedicated career coach.
• Benefit from health insurance for well-being.
• Receive a Coverflex meal card.
• Enjoy other protocols and special discounts.