The Azure Core team is building an Azure copilot that makes it easy for both first party Microsoft teams and third-party customers to securely and effectively govern Azure Resources.As a Generative AI NLP Data Engineer II, you will be building training pipelines for Large-Language Models to power conversational AI experiences that can draw inferences from vast datasets, both structured and unstructured, collaborating in agile teams with the goal of building self-learning systems that learn from the ever-changing real-world data.
We are looking for a motivated, results-oriented, and collaborative engineer who has a drive for results and a passion for learning.Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals.
Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.Required Qualifications:Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 2+ years experience in business analytics, data science, software development, data modeling or data engineering workOR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering or related field AND 1+ year(s) experience in business analytics, data science, software development, or data engineering workOR equivalent experience.Experience with Large Language Model Orchestration frameworks like SemanticKernel and LangChainExperience with Azure CloudExperience with Web Scraping frameworksOther Requirements:Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
These requirements include, but are not limited to the following specialized security screenings:?Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.Preferred Qualifications:Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, JavaScript or TypeScriptOR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, JavaScript or TypeScriptOR equivalent experience.Data Engineering IC3 - The typical base pay range for this role across the U.S.
is USD $94,300 - $182,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $120,900 - $198,600 per year. Certain roles may be eligible for benefits and other compensation.
Find additional benefits and pay information here: US corporate pay information | Microsoft Careers The Microsoft will accept application for the role until June 5, 2024.Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.
We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
software development in Python, C#, SQL, and other languages as needed to build data-engineering pipelinesSupports identification of dependencies, and the development of design documents for a product feature with oversight.With guidance, learns to create and implement code for a product, service, or feature reusing code as applicable.Assists and learns about breaking down work items into tasks and provides estimation.
Reviews current developments and proactively seeks new knowledge that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.Apply good coding standards and patterns.Employment typeFull-TimeWork siteUp to 100% work from homeRole typeIndividual ContributorDisciplineData EngineeringProfessionSoftware Engineering.
