MLOps Engineer
2 months ago
Job Description :
Skills required : Python, Kubernetes, Flask, AWS Cloud, EKS
- Ensure the seamless deployment and operations of our machine learning models for ptoduction usecases
- 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/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.
- 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.
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