Job Description
- Design and implement scalable ML pipelines for Generative and Agentic AI applications.
- Integrate AI models into production environments using containerized platforms such as OpenShift and Kubernetes.
- Collaborate with cross-functional teams to understand AI workflows and translate them into robust engineering solutions.
- Develop and maintain automation scripts using Linux shell scripting, Python, or other relevant tools.
- Ensure seamless deployment and integration of AI services in cloud environments (e.g., AWS, Azure, GCP).
- Implement and maintain network security protocols to safeguard AI systems and data pipelines.
- Monitor and optimize system performance, reliability
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