Job
Description
About The Role : Client PnP Solutions Architect will develop and enhance a robust PnP AI/ML framework deployed across Intel Client platforms to achieve or surpass platform quality and PnP targets. Insights gained from these deployments and analytics will feed back into future client products and beyond by ensuring continuous improvement. Client PnP Solutions Architect will work on PnP KPIs/KEIs projections on customer configurations by considering dynamic factors like OS upgrades, third-party OEM components, and drivers by deploying insights from PnP AI/ML framework. Qualifications Minimum Qualifications Bachelor degree with 12+ years or Master degree with 10+ years in any of the following field:Computer Science or Data Science and Engineering, Electronics or Electrical Engineering, Applied mathematics, or related technical disciplines. Skills: Strong programming skills in Python, with the capability to debug complex asynchronous systems. Hands-on experience in database design, deployment, and maintenance with programming using dot NET,.NET, LINQ, SQL Server, Web API 2.0, Net Core, JavaScript, C, C++, and Angular. Hand-on experience in creating, and deploying automation scripts using Python, C hash, and batch scripting to streamline workflows and enhance functionality. Experience in windows batch scripting, PowerShell scripting, Python and Windows automation. Working knowledge on development and maintenance of automation solutions for Adobe software, AI applications, 3D gaming platforms, browsers, and Microsoft Teams on Windows OS. Expertise in computer architecture and x86 architecture, working experience in platform, post-silicon and PnP validation. Sound knowledge and experience in various domains such as CPU, AI, Graphics, Gaming and Camera. Machine Learning Expertise: In-depth knowledge of machine learning techniques, including regression, classification, LDA, Naive Bayes, Logistic Regression, and SVM. Deep Learning and Generative AI : Solid understanding of ML/DL techniques, algorithms, and tools. Experience with CNN, RNN (LSTM), and Transformers (BERT, BART, GPT/T5, Megatron, LLMs). Knowledge of various prompt techniques, including zero-shot, few-shot,Experience with database and tools such as SQL, MongoDB, Graph DB, and Elastic Search in native AI applications. ML Ops: Proven experience in deploying and maintaining high-scale AI-based systems.Understanding of scalable deployment of multiple microservices involving LLM-driven RAG and Agent applications in a production environment.Familiarity with Docker, Helm, Kubernetes, etc.Experience with the end-to-end software lifecycle, release packaging, and CI/CD pipeline. Preferred Skills: Good understanding of Computer Architecture and x86 architecture. Experienced in Platform Software Development and Validation. Behavioral traits: Excellent written and oral communication skills.Be able to clearly communicate technical details and concept. Inside this Business Group The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to deliver purposeful computing experiences that unlock people's potential - allowing each person use our products to focus, create and connect in ways that matter most to them. As the largest business unit at Intel, CCG is investing more heavily in the PC, ramping its capabilities even more aggressively, and designing the PC experience even more deliberately, including delivering a predictable cadence of leadership products. As a result, we are able to fuel innovation across Intel, providing an important source of IP and scale, as well as help the company deliver on its purpose of enriching the lives of every person on earth.
