Platform Engineer

Responsibilities:

• Build and maintain a scalable and reliable AI platform that adheres to MLOps best practices.
• Collaborate with the team to integrate ML workloads and build orchestration pipelines.
• Automate and optimize infrastructure and deployment processes.
• Design, implement, and maintain monitoring, logging, and alerting systems for the ML platform.
• Work with the data engineering and data science teams to ensure seamless integration of models into production.
• Research and implement new technologies and best practices in the ML operations domain.

Requirements:

• Experience on similar position.
• AWS, Kubernetes, Terraform, Docker, Python, CI/CD tooling
• Nice to have: MLOps tooling (Kubeflow, Mlflow, Featurestores, Sagemaker)

What we offer:

• 100% remote
• Contract B2B via Experis
• MultiSport Plus
• Group insurance
• Medicover Premium
• e-learning platform