onsite
AI Operationalization MLOps Consultant - EY Consulting GmbH
Software Engineer
Consultant role focused on operationalizing AI models, building MLOps pipelines, and deploying scalable solutions on AWS using Docker, Kubernetes, and CI/CD practices.
About the role
Key Responsibilities
- Design, develop, and maintain end‑to‑end MLOps pipelines for AI projects.
- Implement containerization (Docker) and orchestration (Kubernetes) for model deployment.
- Integrate CI/CD workflows to automate testing, validation, and release of ML models.
- Collaborate with data scientists and data engineers to translate models into production‑ready services.
- Monitor and optimize model performance, scalability, and cost on AWS infrastructure.
Requirements
- Strong experience with Python and ML frameworks (e.g., TensorFlow, PyTorch).
- Hands‑on expertise in MLOps tools such as MLflow, Kubeflow, or similar.
- Proficiency in Docker, Kubernetes, and cloud services (AWS).
- Solid understanding of CI/CD pipelines and automation tools.
- Excellent problem‑solving skills and ability to work in cross‑functional teams.
Skills
pythonmlopsdockerkubernetesawscicd