Job Responsibilities
As a software engineer in this role, you will
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
Required Skills
Experience in development in Python or Go
Understanding of fundamental AI/ML concepts, algorithms, techniques and implementation of workflows
Familiarity with DevOps/MLOps practices and tools for managing the AI/ML lifecycle in production environments.
Interest in learning new technologies and tools around the AI/ML landscape; problem-solving skills.
Good written and verbal communication skills
The following are considered a plus
Knowledge of containers and OpenShift or Kubernetes and cloud platforms (AWS, Azure, Google Cloud)
Previous code contributions to or participation in open source projects or code samples on GitHub.
Understanding of fundamental AI/ML concepts, algorithms, and techniques.
Basic knowledge of data preprocessing, feature engineering, and model evaluation.
Knowledge of AI frameworks and libraries (e.g. OpenDataHub, TensorFlow, PyTorch, Kueue, KubeRay, KubeFlow, CodeFlare, Feast etc)
You’re willing to wear a lot of red -OR- You look good in a red t-shirt
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