What you will do:
Develop and implement best practices for AI/ML model lifecycle management, including pre-processing, model training, serving, monitoring etc.
Deploy AI/ML models on OpenShift AI (RHOAI), ensuring scalability, reliability, and performance.
Work with upstream AI/ML communities to evaluate new AI/ML-related technologies from partners and create examples of integrations between their technology and RHOAI
Build multi product demos and AI/ML workflows using Predictive and Generative AI leveraging RH product and AI stack
Collaborate with multiple stakeholders including cross product team, AI/ML partners etc. to adjust their AI strategies, address their specific use cases, and drive value through the adoption of the RHOAI
What you will bring:
At least 7 years Hands on Experience in development in Python/Go
Experience of containers and OpenShift or Kubernetes
Experience with AI and MLOps tools and Concepts, including Automation, GitOps, pipelines, models, etc. for managing the AI/ML lifecycle in production environments
Experience and knowing AI frameworks and libraries such as: OpenDataHub, TensorFlow, PyTorch, Kueue, KubeRay, KubeFlow, CodeFlare, Feast etc
Familiarity with model parallelization, quantization, and memory optimization using vLLM, DeepSpeed, OpenVino and other inference libraries
Interest in learning new technologies; problem-solving skills.
The following are considered a plus
Cloud Computing experience using at least one of the following Cloud infrastructures AWS, GCP, Azure & IBM Cloud
Previous code contributions to or participation in open source projects or code samples on GitHub.
משרות נוספות שיכולות לעניין אותך