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Job Description

The Role and Impact :

Seeking an experienced AI Platform Engineer with 5+ years of industry experience to design and build cloud-native and edge AI platforms.

Responsibilities include developing AI deployment frameworks, model lifecycle management, containerized AI workloads, inference optimization, and platform services for scalable edge deployments.

Tech Stack : Python, AI/ML frameworks, Kubernetes, Docker, cloud platforms (Azure/AWS), MLOps, and distributed systems.

Business Group :

Intel Corporation is a global leader in innovation, driving advancements across computing and AI technologies. As part of this business group, you will join a team focused on developing AI solutions that push the boundaries of performance, efficiency, and functionality.

Key Responsibilities :

- Design, develop, and debug software to enable AI features across Intel's product portfolio.

- Collaborate with internal and external partners to optimize AI solutions spanning firmware, drivers, OS, middleware, frameworks, algorithms, and applications.

- Develop reference AI software and optimize customer designs to ensure maximum utilization of Intel AI products.

- Improve AI workloads and benchmarks to support power and performance analyses and architecture recommendations.

- Contribute to AI software development within the open-source community to drive adoption and innovation.

Minimum Qualifications :

- Bachelor's degree in Computer Science, Electronic Engineering, Electrical Engineering, or a related field with 4+ years of experience in software development OR a Master's degree with 3+ years of experience OR a PhD with no prior professional experience.

- Proficiency in Python and C++ programming.

- Experience developing software for Linux environments, including multiple distributions (e.g., deb, RPM).

- Demonstrated expertise in AI technologies, such as Generative AI, AI models, training, inference, and AI frameworks.

Work Model : This role is eligible for a hybrid work model.

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