This text can be a short description about your company. A so called "boilerplate", describing your business, services or products that you offer and your target group.
This text should be informative rather than selling.
We’re hiring : MLOps Engineer | Hybrid
Our recruitment agency is proud to partner with a top-tier international technology company, making its mark on Romania’s IT landscape.
We’re currently looking for a skilled MLOps Engineer with strong MLOps / DevOps expertise to support cutting-edge AI and data initiatives. The role is available in Brașov and București, offering the chance to work on global projects in Machine Learning, Generative AI, and Data Engineering.
- German language required – minimum B2 level
- Work on global initiatives in ML, Generative AI & Data Engineering
Ready to make an impact? Apply now and join a team that values innovation, collaboration, and growth!
Responsibilities :
Development and enhancement of our MLOps framework and establishment across ML projectsBuilding and maintaining ETL / ML pipelines using GCP services , Airflow, and modern orchestration toolsImplementation of CI / CD processes and GitLab pipeline development for automated ML deploymentsInfrastructure management using Terraform , containerization (Docker), and cloud-native GCP servicesTechnical support for Data Science teams in MLOps / DevOps implementation and best practicesMonitoring and optimization of production ML systems for stability, performance, and scalabilityAPI development and integration to enable seamless data flow and model servingCollaboration with cross-functional teams to improve ML system maturity and operational excellenceYour profile :
Bachelor's / Master's degree in Computer Science, Software Engineering, or equivalent field3-5+ years of proven track record in Data Engineering, MLOps, or DevOps environmentsDemonstrated experience in agile working methodologies and cross-functional teamsExtensive experience in data processing, ETL & ML pipeline development, and orchestrationStrong software development proficiency in Python and SQL with clean code principlesHands-on experience with GitLab CI / CD , developing CI components, and automated pipelinesDeep expertise in GCP ecosystem and native services : GCS, BigQuery, CloudRun, VertexAIProficient in containerization technologies (Docker, dev-containers) and microservicesSkilled in Infrastructure as Code (Terraform), dbt, and Airflow orchestrationExperienced in API development and modern DevOps practicesCollaborative team player with a strong service mindset towards Data Science teamsPragmatic problem-solver who balances technical excellence with business needsStrategic thinker who maintains oversight in complex technical landscapesSelf-driven and organized approach to managing multiple prioritiesFull professional proficiency in English and German (preferably)