The Azure Resource Graph team is looking for an AI/ML Engineer to build training and inference environments using Azure ML and AKS, and to develop software for conversational AI experiences using LLMs that can draw inferences from vast datasets.
Requirements
- Experience developing machine learning solutions.
- Experience working with Web Scraping frameworks, Programming Language Grammars, and Parser Generators
- Experience with DevOps frameworks and CI/CD pipelines shipping quality software
- Technical leadership experience in data driven software engineering
- coding in languages including, but not limited to, C, C++, C-Sharp, Java, JavaScript, or Python
- experience in using agents/AI tools including, but not limited to Cline, Roo.
- experience with Visual studio.
Responsibilities
- building training and inference environments using Azure ML and AKS
- building software to power conversational AI experiences using LLMs that can draw inferences from vast datasets, both structured and unstructured
- developing the Azure Resource Graph team’s direction in machine learning, Generative AI model fine-tuning, Agent creation and deployment, AI evaluation and scaling
- Perform software development in Python, C-Sharp, C++ as needed to build LLM training, testing, and inference modules
- Supports identification of dependencies, and the development of design documents for a product feature with oversight.
- Leads the creation and implementation of innovative AI software using traditional ML, NLP, and statistical learning approaches
- 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.
Other
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
- motivated, results-oriented, and collaborative engineer who has a drive for results and a passion for learning.
- growth mindset and customer empathy.
- collaborating in agile teams
