Data & ML Engineer
- București
- Permanent
- Full-time
- Hybrid setup: 3 days WFH / 2 onsite
- German language required - minimum B2 level
- Work on global initiatives in ML, Generative AI & Data Engineering
- Development and enhancement of our MLOps framework and establishment across ML projects
- Building and maintaining ETL/ML pipelines using GCP services, Airflow, and modern orchestration tools
- Implementation of CI/CD processes and GitLab pipeline development for automated ML deployments
- Infrastructure management using Terraform, containerization (Docker), and cloud-native GCP services
- Technical support for Data Science teams in MLOps/DevOps implementation and best practices
- Monitoring and optimization of production ML systems for stability, performance, and scalability
- API development and integration to enable seamless data flow and model serving
- Collaboration with cross-functional teams to improve ML system maturity and operational excellence
- Bachelor's/Master's degree in Computer Science, Software Engineering, or equivalent field
- 3-5+ years of proven track record in Data Engineering, MLOps, or DevOps environments
- Demonstrated experience in agile working methodologies and cross-functional teams
- Extensive experience in data processing, ETL & ML pipeline development, and orchestration
- Strong software development proficiency in Python and SQL with clean code principles
- Hands-on experience with GitLab CI/CD, developing CI components, and automated pipelines
- Deep expertise in GCP ecosystem and native services: GCS, BigQuery, CloudRun, VertexAI
- Proficient in containerization technologies (Docker, dev-containers) and microservices
- Skilled in Infrastructure as Code (Terraform), dbt, and Airflow orchestration
- Experienced in API development and modern DevOps practices
- Collaborative team player with a strong service mindset towards Data Science teams
- Pragmatic problem-solver who balances technical excellence with business needs
- Strategic thinker who maintains oversight in complex technical landscapes
- Self-driven and organized approach to managing multiple priorities
- Full professional proficiency in English and German (preferably)