Senior / Principal Machine Learning Engineer

Bangalore - Carina, India

Red Hat

Red Hat is the world’s leading provider of enterprise open source solutions, including high-performing Linux, cloud, container, and Kubernetes technologies.

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The future of open source AI starts with you. At Red Hat, we’re looking for engineers who want to become an integral part of democratizing Al technology, making open source AI available and accessible to all.

Al Engineering is a newly formed team where you'll have the scope and impact to make your mark and get your ideas into people's hands. Red Hat's open culture fosters collaboration and allows the best ideas to grow. You will have the opportunity to actively participate in communities like KServe, Kubeflow, and VLLM, and be part of a team that values and expects contributions from all levels. Here, you'll have freedom to innovate, and to focus on challenging, high-impact work that makes a difference. 

We’re looking for experienced Senior and Principal Machine Learning Engineers across two teams: InstructLab and 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. 

Successful applicants must reside in a country where Red Hat is registered to do business.

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.)

#AI-HIRING

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.

Inclusion at Red Hat
Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.

Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.


Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.


Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile Computer Vision Deep Learning Docker Engineering Feature engineering Git Jira KServe Kubeflow Kubernetes Linux Machine Learning Mathematics ML infrastructure ML models MLOps NLP Open Source PhD Pipelines Prompt engineering Python PyTorch Scikit-learn vLLM

Perks/benefits: Career development Transparency

Regions: Remote/Anywhere Asia/Pacific
Country: India

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