Software Engineer - AI Engineering

Job Summary

The Red Hat Ecosystems Engineering group is seeking a Software Engineer.
In this role, you will work with a diverse team of highly motivated engineers on designing and implementing AI/ML workflows and solutions and integrating Partners solutions .

You will also be working closely with the product management, other
engineering groups within Red Hat, and with Red Hat partners and lighthouse customers.
 

Are you ready to start developing new solutions that combine open source,
hybrid cloud, and AI?

 

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:  

• Minimum 2 years of hands on 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 in English

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)

.

#LI-YB1

About Red Hat

Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Diversity, Equity & Inclusion at Red Hat
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