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Senior Software Engineer - Model Inferencing

Senior Software Engineer - Model Inferencing

Red Hat

3 - 6 years

11 - 15 Lacs

bengaluru

Posted:2 days ago| Platform:

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Skills Required

software engineer kubernetes mlops python ibm cloud ai machine learning artificial intelligence git hybrid cloud apis gcp shell jenkins pytorch agile developmen shell scripting agile cloud computing aws red hat programming azure

Work Mode

Work from Office

Job Type

Full Time

Job Description

Red Hat OpenShift AI is a flexible, scalable artificial intelligence (AI) and machine learning (ML) platform that enables enterprises to create and deliver AI-enabled applications at scale across hybrid cloud environments. Built using open-source technologies, OpenShift AI provides trusted, operationally consistent capabilities for teams to experiment, serve models, and deliver innovative apps.

The OpenShift AI team seeks a Software Engineer with Kubernetes and Model Inference Runtimes experience to join our rapidly growing engineering team. Our team focuses on making machine learning model deployment and monitoring seamless and scalable across the hybrid cloud and the edge. This is a fascinating opportunity to build and impact the next generation of hybrid cloud MLOps platforms.

What You Will Do

Develop and maintain a high-quality, high-performing ML inference runtime platform for multi-modal and distributed model serving.

Contribute directly to upstream inference runtime communities such as vLLM, TGI, PyTorch, OpenVINO, and others.

Maintain CI/CD build pipelines for container images that allow faster, more secure, reliable, and frequent releases

Coordination and communication with various stakeholders

Applying a growth mindset by staying up to date with AI and ML advancements

What You Will Bring

Highly experienced with programming in Python and PyTorch

Familiarity with model parallelization, quantization, and memory optimization using vLLM, TGI, and other inference libraries.

Experience with Python packaging, such as PyPI libraries

Solid understanding of the fundamentals of model inference architectures

Experience with Jenkins, Git, shell scripting, and related technologies

Experience with the development of containerized applications in Kubernetes

Experience with Agile development methodologies

Experience with Cloud Computing using at least one of the following Cloud infrastructures: AWS, GCP, Azure, or IBM Cloud

Ability to work across a large, distributed, hybrid engineering team

Following is considered a plus

Experience with open-source development is a plus

Development experience with C++, especially with the CUDA APIs, is a big plus

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Senior Software Engineer - Model Inferencing