Senior Data & MLOps Engineer

📣 Are you ready to build and scale machine learning systems that run reliably in production?

If you enjoy working at the intersection of data engineering, DevOps, and machine learning, and want to improve how ML models are deployed and operated, this role could be a great fit.

Our philosophy is “First who, then what.”

📍This role is fully remote in Romania.

🚀 First who?

• You are a Senior Data & MLOps Engineer with 3–5+ years of experience in Data Engineering, MLOps, or DevOps.
• You have strong experience building and orchestrating data and ML pipelines, and you are comfortable working with Python and SQL, following clean code practices.
• You are experienced with GCP services such as BigQuery, Cloud Run, Vertex AI, and GCS, and you have hands-on experience with CI/CD pipelines, Docker, and Terraform.
• You are collaborative, structured, and enjoy supporting data teams by improving the way models are built, deployed, and maintained.

🚀 Then what?

• You will join a team focused on building and operating machine learning systems and data infrastructure used across multiple business areas.

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• Your role will focus on improving MLOps practices, building scalable pipelines, and ensuring that ML systems are stable, efficient, and easy to maintain.
• You will work closely with Data Science teams to support model deployment, improve workflows, and raise the overall maturity of ML systems.

📌 Your mission

• Develop and improve MLOps frameworks and practices
• Build and maintain ETL and ML pipelines using GCP and orchestration tools
• Implement CI/CD pipelines for automated model deployment
• Manage infrastructure using Terraform, Docker, and cloud services
• Monitor and optimize ML systems for performance and reliability
• Develop APIs to support data flow and model serving
• Collaborate with cross-functional teams to improve system design and operations
• Improve stability, scalability, and maintainability of ML systems

⚙️ Your toolbox

Technical Skills

• Python and SQL

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• GCP services: BigQuery, GCS, Cloud Run, Vertex AI
• CI/CD with GitLab
• Docker and container-based development
• Terraform, dbt, Airflow
• ETL and ML pipeline orchestration
• API development

General Skills

• Experience working in Agile environments
• Strong collaboration and communication skills
• Structured and self-driven
• Problem-solving mindset with a practical approach
• Ability to manage multiple priorities
• Fluent English, German is a plus

🚀 Do you recognize yourself in the First who and see yourself thriving in the Then what?

👉 Apply now and let’s talk.