Machine Learning Engineer

Undelucram.ro on behalf of:

Evolve Today

We’re hiring: Data & ML Engineer | Hybrid | Romania

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)

Machine Learning Engineer

Key Skills

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