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Red hat Senior / Principal Machine Learning Engineer Pytorch Engineering Bangalore 
India, Karnataka 
835522814

Today

We’re looking for experiencedandacross two teams: InstructLab (https://www.redhat.com/en/topics/ai/what-is-instructlab) and OpenShift AI (https://www.redhat.com/en/technologies/cloud-computing/openshift/openshift-ai) . In this role, you will build, optimize, and scale machine learning models while contributing to innovative AI-driven solutions, and assisting users in understanding ML predictions. During the hiring process, we'll work with you to determine the best team placement based on your background and interests. While the core job requirements remain consistent, your day-to-day responsibilities will align with your chosen team's objectives.


What you will do

Specific responsibilities will vary based on team placement, but may include:

  • Design and implement machine learning systems

  • Develop and optimize ML models for production use

  • Create and maintain ML infrastructure and pipelines

  • Ensure ML systems are scalable and maintainable

  • Collaborate with data scientists to productionize models

  • Collaborate closely with researchers, software developers, and upstream AI/ML communities

  • Mentor and guide other team members

What you will bring

  • Experience in AI development, deep learning, machine learning libraries (e.g. pytorch, scikit-learn), prompt engineering, and/or fundamental mathematics

  • Experience in feature engineering

  • Experience in Go or Python development

  • Experience in Kubernetes, OpenShift, Docker, or other cloud-native technologies

  • Experience in agile development, Jira, and Git

  • Ability to quickly learn and use new tools and technologies

  • Excellent written and verbal communication skills

The following skills are valued and may influence team placement:

  • Masters or PhD in Machine Learning (ML) or Natural Language Processing (NLP)

  • Active participation in KServe, TrustyAI, Kubeflow, or other open source communities

  • Specialized expertise in specific AI domains (NLP, Computer Vision, MLOps, etc.)