Machine Learning Operations Engineer (f/m/div.)
HybridBraga, Braga, Portugal
Job Summary
Collaborate on MLOps strategy and technical design for a self-service platform covering data ingestion, feature engineering, model training, validation, deployment, and monitoring. Develop and maintain comprehensive documentation for MLOps processes and infrastructure. Design and implement Infrastructure as Code solutions using Terraform to provision cloud resources, while establishing robust security measures and monitoring dashboards to proactively resolve platform issues. Work closely with ML engineers, data scientists, and infrastructure teams to deliver high-quality solutions, participate in code reviews, and communicate effectively with stakeholders. Stay up to date with latest MLOps trends and adopt new approaches within an Agile/SAFe environment.
Required Qualifications
- MSc or Ph.D. in Software Engineering, Computer Science, Data Science, Machine Learning, or a related field
- 3+ years of experience in MLOps, Data Engineering, DevOps, or similar roles
- Good understanding of the ML development process and model life cycle
- Good understanding of DevOps principles and practices
- Experience designing, implementing, integrating, and maintaining MLOps solutions or CI/CD pipelines
- Good scripting and automation skills with Python and Bash
- Experience with Azure services, and Microsoft Entra ID
- Good understanding of Terraform, GitHub Actions, and Kubernetes
- Basic understanding of Ansible
- Experience with GNU/Linux systems as key development environment
- Experience working in Agile/SAFe environments
- Fluent in English, written and spoken
Desired Qualifications
- Excellent problem-solving skills
- Effective communication skills, team player, and capable of collaborating across functional areas
- Proactive, customer and result-oriented personality
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