New 
AI/ML Engineer
 Microsoft | |
 United States, Texas, Irving | |
| 7000 State Highway 161 (Show on map) | |
 Oct 16, 2025 | |
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OverviewThe Azure Resource Graph team is looking for a AI/ML Engineer. As a AI/ML Engineer you will be building training and inference environments using Azure ML and AKS. You will be building software to power conversational AI experiences using LLMs 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.This role will combine machine learning and AI knowledge with software engineering expertise, while demonstrating a growth mindset and customer empathy. Join us in shaping the future of AI agents.You will play a crucial role in developing the Azure Resource Graph team's direction in machine learning, Generative AI model fine-tuning, Agent creation and deployment, AI evaluation and scaling.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.
ResponsibilitiesPerform software development in Python, C#, C++ as needed to build LLM training, testing, and inference modulesSupports 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 approachesAble to break down work items into tasks, provides estimation, and manage ambiguous requirements.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 best practices, coding standards and patterns.Develop a deep understanding of the Azure Resource Graph and Azure best practices. | |