Machine Learning Engineer

2 weeks ago

Bucharest, Bucureşti, Romania Evolve today Full time 90,000 - 120,000 per year

We're hiring: Data & ML 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 looking for a skilled Data & ML Engineer with strong MLOps/DevOps expertise to support cutting-edge AI and data projects.

  • Hybrid setup: 3 days WFH / 2 onsite
  • 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 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

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 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)

Tipul jobului: Cu normă întreagă, Perioadă nedeterminată

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