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Position: Special Clouds Machine Learning Engineer
Institution: Microsoft Corporation
Location: Bucharest, Romania
Duties: We are looking for strong Software/ML engineers who can be expected to learn ML/Data Science concepts on the job; You will leverage Azure services (e.g., Azure ML, Azure DevOps) and develop customized modules to instrument CI/CD capabilities; You will support and manage machine learning models, production pipeline, experimentation platform across Data Science teams; Develop and enhance reproducible, scalable analytical and modeling toolkits to provide rigorous analysis solutions. Convert ML scientist code into production-ready packages integrated into services and/or build applications
Requirements: 5+ years of software development experience using Python, C#, Java, C++, or C; 2+ years’ experience with various aspects of ML system design & management; this includes data engineering to design & monitor data pipelines that feed into ML model training and inferencing workflows, ML Engineering best practices to permit continuous integration/continuous deployment (CI/CD) of newer artefacts in the ML production cycle, and management of ML models in production including continuous performance monitoring, incident resolution, and model retraining; Advanced degree in Software Engineering, Machine Learning, Computer Science or equivalent experience; Experience with building cloud-scale infrastructure components
   
Text: We use cookies to improve your experience on our websites and for advertising. Privacy Statement Skip to main content Microsoft Microsoft 365 Office Windows Surface Xbox Deals Support Careers Students and graduates Saved jobs - Special Clouds Machine Learning Engineer Bucharest, Bucharest, Romania Save save Special Clouds Machine Learning Engineer to job cart Job number 1270396 Date posted Feb 21, 2022 Travel 0-25 % Profession Engineering Role type Individual Contributor Employment type Full-Time Microsoft’s Enterprise cloud services are some of the most rapidly growing and strategically important segments in our company. The Office 365 Enterprise Cloud team runs a mission-critical cloud service for many of the largest organizations in the world, including many of the Fortune 500 companies as well as federal, state, and local government organizations. We provide a distributed, scalable, highly reliable service for millions of people. As you might expect, customers of this nature have the highest expectations around enterprise features, regulatory compliance, reliability and availability and of course about the security of our service! Microsoft Special Clouds is investing in ambitious ML projects to change fundamentally the way cloud events are interpreted, correlated, presented and made actionable in self-sufficient cloud environments. This is a greenfield opportunity to shape how AI is applied in intelligent monitoring, contextual aware guidance, automated recovery and remediation. We’re looking for Software/Machine Learning Engineers with a strong background in Machine Learning, willing to work with a diverse set of AI projects for Sovereign Cloud Environments. You should enjoy picking up new ML frameworks, developing novel yet practical solutions, and communicating with a diverse set of partners from Data Science, Data Engineers and other Software Engineering Teams. You would receive significant mentoring and coaching as you help prioritize and unblock work for our big government sovereign environments. #M365Core Responsibilities We are looking for strong Software/ML engineers who can be expected to learn ML/Data Science concepts on the job. You will leverage Azure services (e.g., Azure ML, Azure DevOps) and develop customized modules to instrument CI/CD capabilities. You will support and manage machine learning models, production pipeline, experimentation platform across Data Science teams Develop and enhance reproducible, scalable analytical and modeling toolkits to provide rigorous analysis solutions. Convert ML scientist code into production-ready packages integrated into services and/or build applications. Work closely with Data Scientists, Data Engineers, other Software Engineering Teams, Program Managers to design and implement a mature ML Engineering platform. Become a subject matter expert in the Cloud + AI business and underlying data ecosystem. Qualifications Required Qualifications 5+ years of software development experience using Python, C#, Java, C++, or C 2+ years’ experience with various aspects of ML system design & management - this includes data engineering to design & monitor data pipelines that feed into ML model training and inferencing workflows, ML Engineering best practices to permit continuous integration/continuous deployment (CI/CD) of newer artefacts in the ML production cycle, and management of ML models in production including continuous performance monitoring, incident resolution, and model retraining. Advanced degree in Software Engineering, Machine Learning, Computer Science or equivalent experience Experience with building cloud-scale infrastructure components. Awareness & passion related to cloud scale monitoring and big-data analysis. Familiar with secure software design concepts Familiar with security related configurations such as encryption or authentication mechanisms Proven track record of delivering projects that include multiple components Ability and eagerness to work across and partner with multiple engineering/science teams to achieve business goals Preferred qualifications: Machine learning model development for production scenarios. Experience processing large quantities of data Experience with database systems, including Relational Databases (e.g. SQL), and Graph Databases (e.g., Neo4j, Cosmos DB), and data storage systems, including Data Warehouse and Data Lake. Familiarity with salient Machine Learning and Statistics concepts - confidence intervals, model performance validation, ML model training, basic probability theory and linear algebra Excellent interpersonal, analytical, communication, and presentation skills - the ability to communicate complex findings in a simple manner. 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. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work. Benefits and Perks Industry leading healthcare Savings and investments Giving programs Educational resources Maternity and paternity leave Opportunities to network and connect Discounts on products and services Generous time away Resources Accessibility support Frequently asked questions Interview tips Search more jobs Save save Special Clouds Machine Learning Engineer to job cart Get personalized job recommendations Sign in or create a profile and we'll let you know when there's a match. Life at Microsoft Microsoft employee sitting in chair Culture We’re working together to build strong communities inside and outside the workplace. Group of people celebrating Benefits Microsoft sees the whole person and looks to support your well-being on every level. Chris Schlechty of Microsoft Diversity and inclusion We value individuality. The experiences that have shaped your world view can help us shape ours. 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