Machine Learning Infrastructure Specialist
4 days ago
About the Role:
We are seeking a highly skilled MLOps Engineer to join our team at Ennsee Technologies, where you will be responsible for ensuring the smooth deployment and management of machine learning models across our cloud infrastructure.
Key Responsibilities:
- Design and implement scalable and secure cloud-based systems for deploying and managing machine learning models.
- Collaborate with data scientists and engineers to develop and maintain high-quality machine learning pipelines.
- Ensure compliance with industry standards and best practices for infrastructure as code (IaC) and continuous integration/continuous deployment (CI/CD) pipelines.
Requirements:
- Proven experience in MLOps or DevOps roles with a strong understanding of machine learning lifecycle management.
- Familiarity with containerization and orchestration tools like Docker and Kubernetes.
- Experience with cloud platforms (e.g. AWS, Azure, GCP) for deploying and managing machine learning models.
Preferred Skills:
- Proficiency with DevOps tools such as Kubernetes, Docker, and Jenkins for CI/CD pipeline integration.
- Strong understanding of infrastructure as code (IaC) tools and principles to automate infrastructure setup and management.
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