Machine Learning Operations Specialist
3 weeks ago
Job Summary:
U-SET is seeking an experienced MLOps Engineer to join our team. As an MLOps Engineer, you will be responsible for ensuring the seamless deployment and operations of our machine learning models for production use cases.
Key Responsibilities:
- Develop and maintain robust MLOps pipelines for deploying machine learning models.
- Implement and manage Kubernetes (K8S) and AWS EKS for container orchestration.
- Utilize Python development and optimization of operationalize the ML Models for delivering business outcomes.
- Harden machine learning models to ensure security and reliability.
- Monitor and optimize the performance of deployed models.
- Collaborate with data scientists and software engineers to integrate models into production environments.
- Enhance operational aspects of ML models, including scalability and performance improvements.
Requirements:
- Proven experience in MLOps, with a strong focus on Python and Kubernetes.
- Extensive experience with AWS Cloud services, particularly EKS.
- Strong understanding of the operational aspects of machine learning models.
- Experience with CI/CD pipelines for ML models.
- Knowledge of data security best practices.
- Familiarity with monitoring tools and techniques for ML models.
About U-SET:
U-SET is a company that values innovation and excellence. We are committed to providing our customers with the best possible solutions and services.
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