Advanced Accelerator Program - LLMs & MLOps Specialization

October 3

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Factored

Machine Learning β€’ Data Engineering β€’ Data Analytics β€’ Artificial Intelligence β€’ Data Science

51 - 200

Description

β€’ Who We Are: Factored was conceived in Palo Alto, California by Andrew Ng and a team of highly experienced AI researchers, educators, and engineers to help address the significant shortage of qualified AI & machine learning engineers globally. β€’ Our Program: Our Advanced Accelerator program focuses on guiding engineers to the pinnacle of their careers, whether in LLMs or MLOps. It outlines a robust progression path that develops deep expertise in these essential domains of AI. β€’ Choose Your Path to Engineering Mastery: Engineers ready to advance their careers can specialize in either LLMs or MLOps, while developing strong foundational knowledge in software and ML systems design. β€’ By the end of the advanced accelerator program, both LLM and MLOps engineers will be able to design scalable, high-performance ML systems and develop end-to-end solutions that integrate data pipelines and deployment.

Requirements

β€’ At least 3 years of experience in the machine learning field, with a proven track record of implementing ML models or solutions. β€’ At least one year of NLP experience (for candidates choosing the LLM path) or one year of experience in MLOps (for candidates choosing the MLOps path). β€’ For the LLM path: Experience using transformer architecture models for NLP tasks and familiarity with PyTorch/TensorFlow and Hugging Face. β€’ For the MLOps path: Familiarity with ML model deployment, CI/CD pipelines, and tools like Docker and Kubernetes. β€’ Understanding of machine learning algorithms, data pipelines, and software engineering principles. β€’ Proficiency in production-grade Python code and basic understanding and experience in Backend Development. β€’ Hands-on experience with cloud platforms (AWS, Azure, or GCP). β€’ Ability to communicate technical concepts clearly and collaborate effectively with cross-functional teams. β€’ Excellent written and spoken English communication skills and the ability to have in-depth technical discussions with both the engineering team and business people.

Benefits

β€’ Factored will pay a monthly stipend to all program participants to cover living expenses during the accelerator program. β€’ Factored does not charge any upfront fees to enroll and participate in the program. β€’ Participants will need to sign a loan agreement for an amount equal to the cost of their participation. This loan will be fully repaid and canceled after 2 years of full-time employment with Factored. β€’ After the program, we will conduct a technical assessment by the end of the accelerator program. Factored will extend full-time employment offers to participants who successfully complete and graduate from the accelerator program.

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