Senior Artificial Intelligence/Machine Learning Engineer (MLOps)

TL;DR

Senior Artificial Intelligence/Machine Learning Engineer (MLOps): Deploying and maintaining machine learning models in production using cloud platforms and CI/CD pipelines with an accent on MLOps infrastructure, scalability, and model monitoring. Focus on designing robust data and model pipelines, optimizing performance and cost, and streamlining deployment workflows.

Location: Must be based in Romania (Fully remote or hybrid in Bucharest)

Company

A custom product engineering company supporting multinational organizations and scaling startups with high-end technology solutions.

What you will do

• Deploy ML models to production, ensuring high performance and scalability.
• Develop and maintain data and model pipelines for reliable workflows.
• Design and implement CI/CD pipelines to streamline ML deployment using tools like GitHub Actions and Docker.
• Monitor post-deployment model performance to ensure reliability and quality over time.
• Collaborate with cross-functional teams of data scientists and software engineers.
• Continuously optimize infrastructure for AI model production and delivery.

Requirements

• Experience deploying ML models in production using cloud platforms (GCP, AWS, or Azure).
• Proficiency in Python and ML libraries such as TensorFlow, PyTorch, and scikit-learn.
• Experience with ML platforms/frameworks (VertexAI, Kubeflow, SageMaker).
• Knowledge of CI/CD pipelines for machine learning.
• Experience with data processing frameworks, particularly Apache Beam/Dataflow.
• Must be located in Romania.

Culture & Benefits

• Radical flexibility with the choice to work fully remotely or from the office.
• Medical subscription to Regina Maria and meal tickets (40 RON net/day).
• Learning support via Udemy, language courses, and company-paid certifications.
• Opportunities for internal mobility across diverse domains and large-scale global projects.
• Collaborative "One Team" culture in a friendly, open-door environment.