MLOps Engineer (Junior–Mid)
Коротко
Develops and maintains ML pipelines for training, testing, and deployment; supports model versioning, containerization with Docker/Kubernetes, and CI/CD.
Описание от работодателя
About the Project
LogiX is an AI and data consulting firm partnering with high-growth companies. We are currently supporting a large, well-established proptech client operating a high-traffic digital marketplace in the real estate sector.
The Role
We are hiring a Junior to Mid-level MLOps Engineer (Contractor) to join the delivery team. You will support ongoing machine learning operations, managing the lifecycle of models from development to deployment and ensuring scalable AI infrastructure.
What you'll support / contribute to:
Supporting the development and maintenance of ML pipelines for model training, testing, and deployment
Assisting with model deployment , versioning, and containerization (using Docker/Kubernetes)
Contributing to CI/CD workflows for machine learning and automation scripts under guidance of senior engineers
Working alongside Data Scientists and Product teams to help ensure model performance and reliability in production
Participating in documentation and basic model monitoring or governance practices
Details
Duration: 12-month engagement (potential extension)
Work Model: Onsite, Remote, or Hybrid (depending on location)