Senior Software Engineer
Bangalore, Karnataka, India
Microsoft
Entdecken Sie Microsoft-Produkte und -Dienste für Ihr Zuhause oder Ihr Unternehmen. Microsoft 365, Copilot, Teams, Xbox, Windows, Azure, Surface und mehr kaufenMicrosoft 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.
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.
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.
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. 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.
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.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Azure Causal inference Computer Science Data analysis Deep Learning Engineering LLMs Machine Learning ML models Power BI Python PyTorch Reinforcement Learning Security Statistics TensorFlow
Perks/benefits: Career development Health care Medical leave
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