AI/ML Technologist

About The Role :

Qualifications

Minimum Qualifications

Skills:

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:

• 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.als. The team excels in diversity, innovation, and technical leadership.