HomeMicrosoft | Jobs | Senior ML Engineer | BigDataKB.com | 01-04-22
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Microsoft | Jobs | Senior ML Engineer | BigDataKB.com | 01-04-22

Job Location: Noida

Microsoft Cloud & AI group has a unique opportunity at the intersection of cloud computing and AI. We are disrupting the cloud industry with innovation and large-scale AI implementation
Part of the Cloud & AI engineering organization, Microsoft Cloud Data Sciences (MCDS) fosters a data driven culture. DSaaS (Data Sciences as a Service) Innovation Operations Center is a shared service within MCDS that drives impact and innovation using state-of-the-art Machine Learning (ML). In DSaaS, we drive applied ML across Customer, Partner, Field & Cloud. We work across groups: engineering, Sales, Cloud Marketplace, Partner, Digital, Marketing, Support, Developer Relations, Start-ups and Finance. Most of our models are deployed into production systems including our MLOps platform. We have a strong presence in internal and external ML conferences & journals.
Join us to be part of an iterative & fast-paced environment where you can drive impact, innovation and apply state-of-the-art techniques to solve problems on a global scale. Join our exciting data sciences team that is shaping the evolution of Cloud & AI.
Learn more about us at: https://medium.com/data-science-at-microsoft


Responsibilities

  • Design, develop, validate, test, deploy, maintain and improve ML models/infrastructure and engineering services that uses these models.
  • Design and develop highly scalable Big Data solutions and analytics experiences
  • Design and develop real time data streaming solution and API on Azure
  • Design and develop the Java, Python, C# libraries, packages and frameworks that support large, complex web applications.
  • Lead cutting edge research of AIOps in Microsoft data science communities.


Qualifications


Required Qualifications
  • Bachelor’s degree in Computer Science, Mathematics, Statistics, Physics or related field.
  • 8+ years of total experience with last 5+ Years in Machine Learning domains
  • The candidate must have a strong systems and software engineering background as well as familiarity with various aspects of ML System design & management
  • Experience with at least one of the cloud platform, including Azure (Preferred), AWS, GDP, and have developed data pipeline related services.
  • Experience with database systems, including Relational Databased(e.g, SQL), and Graph Database (e.g, Neo4j, Cosmos DB), and data storage system, including Data Warehouse and Data Lake.
  • Experience with cloud orchestration systems such as Kubernetes and containerized services
  • Experience with one or more software programming languages including C, C++, C, Scala, proficiency in Python language.
  • Experience with open-source tools like PyTorch, Tensorflow, Scikitlearn and Big data technologies like Hive, PySpark, Databricks etc.
  • Familiarity with salient Machine Learning and Statistics concepts – confidence intervals, model performance validation, ML model training, basic probability theory and linear algebra

Preferred Qualification
  • Master or Ph.D.’s degree in Computer Science, Mathematics, Statistics, Physics or related field.
  • Knowledge of (with deep expertise in at-least one of) Classification, Prediction, Recommender Systems, Time Series Forecasting, Anomaly Detection, Optimization, Graph theories, NLP
  • Knowledge of one of the Deep Learning frameworks (PyTorch, MXNet, TensorFlow, Keras)
  • Experience of ensuring compliance of platform to regulators and having worked with auditors is a plus
  • Prior experience in testing is a plus: Strong understanding of product requirements, technical solution plan and testing objectives. Review test coverage of new features and provide suggestions to improve their quality
  • Experience designing GUIs is a plus
  • Knowing R is a plus.

Security Requirement
  • Candidates must be able to meet Microsoft, customer and/or government security screening requirements required for this role. These requirements include, but are not limited to the following specialized security screenings:
  • Microsoft Cloud Background Check: This position will need to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
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.

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