Senior Software Engineer
Microsoft
Senior Software Engineer
Bangalore, Karnataka, India
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Overview
Microsoft Silicon, Cloud Hardware, and Infrastructure Engineering (SCHIE) is the team behind Microsoft’s expanding Cloud Infrastructure and responsible for powering Microsoft’s “Intelligent Cloud” mission. SCHIE delivers the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, Teams, OneDrive, and the Microsoft Azure platform globally with our server and data center infrastructure, security and compliance, operations, globalization, and manageability solutions. Our focus is on smart growth, high efficiency, and deliver trusted experience to customers and partners worldwide and we are looking for passionate, high-energy engineers to help achieve that mission.
Firmware/Software CoE is looking for a Senior Software Engineer to be a part of the fast-paced and exciting business of Azure. This is your chance to be part of the most exciting end-to-end teams within Microsoft. We are looking for a highly motivated Senior Software Engineer with a track record in Cloud Service development to come help us develop and light up innovative hardware solutions that powers Azure and make our world-class cloud infrastructure even better. To be successful in this role, you must have a great track record of delivering quality results to customers, an engineering mindset, an innate aptitude for agility, and technical excellence in software engineering.
Qualifications
Bachelor’s in computer science, Computer Engineering or related.
- 6+ years of industry experience with common ML engineering programming languages and platforms, such as Python, ML Stack.
- Experience in setting up web applications, web services that leverage AI\ML ecosystem for business insights, automated jobs.
- Solid data engineering and ML experience with large language models (LLM).
- Proven track record of building, deploying, and optimizing large-scale AI/ML models in real-world applications.
Preferred Qualifications:
- Experience working with large language models / multi-billion parameter models, focusing on their efficient training and online inference.
- Familiar with e2e machine learning development cycle, from model measurements / training/ evaluation to optimization/deployment, etc.
- Experience in one of these training frameworks: Pytorch, Tensorflow, etc., and LLM is a plus.
- Understanding of hardware and devices, or familiarity with OS and Firmware health and error reporting would be added plus.
Responsibilities
Conduct A/B analysis, create and validate metrics, develop ML pipeline and modeling algorithm in Information Retrieval and Machine Learning.
Determines the technique needed and develops analytic models to understand complex business issues and provide data-driven insights by integrating statistical inference, Machine Learning modeling, AI and/or other advanced analytical methods to manage, classify and analyze complex data from a variety of sources.
Perform data analysis using a variety of analytical tools (Python, KQL, MLStudio, Synapse, Power BI, Fabric etc), and interpret results with actionable recommendations.
Define & measure the success/impact of requested analytics & reporting features via quantitative measures.
Lead the development of cutting-edge models based on Hardware Telemetry. Leverage and advance Deep Learning, Reinforcement Learning, Causal Inference, and other techniques to solve complex problems.
Take an active role and partner with internal peer teams and external partners to ensure highly available, fully secure, accurate and actionable results based on hardware health signals, policies, and predictive analytics.
Partner with stakeholders across the team to identify opportunities to build new AI-based solutions to improve engineering efficiency across development, validation, monitoring, and live support.