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.
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