Microsoft is looking to deliver innovative AI features across flagship products and shape the future of intelligent cloud services by solving real-world challenges and building high-performance, secure, and resilient platforms.
Requirements
- 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C, Java, JavaScript, or Python
- 2+ years experience in applying machine learning techniques and drive end-to-end AI product development.
- 1+ years working with Large Language Models.
- Experience with Prompt optimizations, Data Mining with language models, Agentic systems.
- Problem solving and data analysis skills, with expertise in developing or applying predictive analytics, statistical modelling, data mining, or machine learning algorithms.
- Computer Science, Math, Statistics, or related areas with industry experience or publication record in the areas of Large Language Models, Machine Learning, or Natural Language Processing.
- Coding experience in languages including, but not limited to, C, C++, C, Java, JavaScript, or Python
Responsibilities
- Lead efforts to operationalize at scale by reducing incident volume, analyzing incidents globally, and providing broad resolutions.
- Be a technical leader to engineers, own project efforts, be accountable end-to-end.
- Identify requirements, scope solutions, estimate work, and schedule deliverables.
- Apply engineering principles to establish robust and maintainable architecture and designs.
- Promote and drive the adoption of good coding standards and patterns.
- Architect, design, and launch cutting-edge systems that drive resilience for massive-scale platforms
- Empower automatic impact assessment, diagnostics, correlations and game-changing automated mitigations.
Other
- Bachelor's Degree in Computer Science or related technical field
- Leadership skills to influence others, with the ability to understand team dynamics, retain, attract, and develop team members.
- Customer obsessed and passionate about product impact.
- Proven track record in shipping end-to-end features.
- Solid cross team collaboration skills.
