
AI/ML DevOps Expert
2 days ago
This role presents a compelling chance to work in AI and Machine Learning Development and Operations (DevOps) engineering, as part of a dynamic team that values reliability and continuous improvement.
The ideal candidate will contribute to the deployment and maintenance of AI and ML systems in production environments, gaining hands-on experience with best practices and infrastructure automation.
This position offers a structured environment for developing core competencies in ML system operations, DevOps practices, and production ML monitoring, with guidance from Technical Leadership.
- Support the deployment and maintenance of machine learning models in production environments under direct supervision, learning containerization technologies like Docker and Kubernetes.
- Contribute to CI/CD pipeline development for ML workflows, including model versioning, automated testing, and deployment processes using tools like Azure DevOps.
- Monitor ML model performance, data drift, and system health in production environments, implementing basic alerting and logging solutions.
- Collaborate with ML engineers and data scientists to operationalize models, ensuring scalability, reliability, and adherence to established MLOps procedures and best practices.
Key Responsibilities:
- Maintain high-quality AI and ML systems in production environments.
- Develop and implement efficient CI/CD pipelines for ML workflows.
- Implement robust monitoring and alerting systems for ML model performance.
- Collaborate with cross-functional teams to achieve project objectives.
Required Skills and Qualifications:
- Strong understanding of AI and ML concepts.
- Experience with containerization technologies like Docker and Kubernetes.
- Knowledge of CI/CD pipeline development tools like Azure DevOps.
- Skills in programming languages like Python or R.
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