We’re hiring: MLOps Engineer | Hybrid | Bucharest

For our business partner, a global tech innovator expanding in Romania, we’re looking for a skilled MLOps Engineer to join their AI & Data team.

You’ll work on international projects in Machine Learning, Generative AI, and Data Engineering, using tools like GCP, Vertex AI, Terraform, Python, and SQL.

If you have solid MLOps/DevOps experience and want to build scalable ML pipelines in a collaborative, forward-thinking environment, this is your chance to make an impact.

 Hybrid role based in București

Global exposure & cutting-edge tech

Culture of innovation, growth & teamwork

Let’s connect if this sounds like your next move!

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.