MLOps Engineer Brașov

MLOps Engineer
Braşov
Brașov, Brașov, Romania

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We’re hiring: MLOps Engineer | Hybrid 

Our recruitment agency is proud to partner with a
- tier international technology company, making its mark on Romania’s IT landscape.  

We’re currently looking for a skilled MLOps Engineer with strong MLOps/Dev
Ops expertise to support
- edge AI and data initiatives. The role is available in București, offering the chance to work on global projects in Machine Learning, Generative AI, and 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 projects
• Building and maintaining ETL/ML pipelines using GCP services, Airflow, and modern orchestration tools
• Implementation of CI/CD processes and Git
  Lab pipeline development for automated ML deployments
• Infrastructure management using Terraform, containerization (Docker), and
  - native GCP services
• Technical support for Data Science teams in MLOps/Dev
  Ops 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
  - functional teams to improve ML system maturity and operational excellence

Your profile:

• 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 Dev
  Ops 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 Git
  Lab CI/CD, developing CI components, and automated pipelines
• Deep expertise in GCP ecosystem and native services: GCS, Big
  Query, Cloud
  Run, Vertex
  AI
• Proficient in containerization technologies (Docker,
  - containers) and microservices
• Skilled in Infrastructure as Code (Terraform), dbt, and Airflow orchestration
• Experienced in API development and modern Dev
  Ops practices
• Collaborative team player with a strong service mindset towards Data Science teams
• Pragmatic
  - 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.