AI/ML Technologist

 About The Role : AI/ML technologist will focus on leveraging advanced capabilities in Deep Learning, Generative AI, and Agentic AI to revolutionize traditional manual validation and debug processes, transforming them into fully automated, intelligent systems which aim to reduce human intervention, enhance accuracy, and scale validation workflows to meet increasing demands.AI/ML Technologist will work with internal validation teams and Intel Labs deliver AI based modernization of system integration and validation solutions for client products execution. Researches technical trends and utilizes deep domain and expertise to prototype solutions and develop AI software including open-source libraries and models. Optimizes performance of AI models through deep knowledge and expertise of AI frameworks, algorithms, models, and related hardware. AI/ML Technologist will lead development of self-reasoning systems for improved test case generation, enhancing fault resolution quality, creating AI-assisted debugging solutions for both internal and customer issues, and building automated recommendation systems. Analyzing and elevating the overall customer experience will be crucial for long-term success. By integrating AI, the organization will deliver higher quality products and solutions.
 Qualifications 

Minimum QualificationsBachelor 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.

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).

Practical experience with Retrieval-Augmented Generation (RAG) and LLM-based applications.

Familiarity with LLM function calling, Information Retrieval, Vector Databases, Embedding, and Re rank models.

Hands-on experience with large language model (LLM) agentic pipelines.

Knowledge of various prompt techniques, including zero-shot, few-shot, Chain-of-Thought, Tree-of-Thought, and React. Database and Tools:

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.