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Senior MLOps Engineer - AI Project
REMOTE · WORLDWIDE
—
Full-time
SENIOR
About the Role
Join a strategic AI project as an MLOps Engineer. You will bridge the gap between Data Science and IT Operations, ensuring scalable and reliable deployment of machine learning solutions. This role focuses on managing and operating AI-powered applications efficiently.
Responsibilities
- Deploy, manage, and operate AI-powered applications.
- Bridge the gap between Data Science and IT Operations.
- Ensure Machine Learning solutions are scalable, reliable, and efficient.
Requirements
- Experience in MLOps or similar role.
- Understanding of ML lifecycle and deployment.
- Proficiency with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
- Strong collaboration and communication skills.
Tech Stack
PythonCI/CDKubernetesDockerMLflow
qaracter - beyond your challenge
Madrid · ES · 537+ employees
Qaracter is an international consulting firm specializing in the financial and insurance sectors, providing services in treasury, capital markets, risk management, and digital transformation. They focus on providing tangible, results-oriented solutions across various business, financial, and technological domains.
