Microsoft
Bangalore
Computer Hardware & Software
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. The MCDS research team is a new team that has been setup to focus on applied ML R&D. MCDS Research is a shared service within MCDS that drives impact and innovation using state-of-the-art Machine Learning (ML) and strives to push the boundaries of ML. We drive applied ML research 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 using our MLOps platform. We have a strong presence in internal and external ML conferences & journals.
Together with engineering, we are building a MLOps platform for Microsoft Cloud Data Sciences. This Microsoft-on-Microsoft infrastructure has Azure repos, Azure Pipelines, Azure Data Factory, Azure SQL, Azure Data Lake, Azure Synapse, Azure ML, Azure Log Analytics, Incident Management, Microsoft Flow, Data Contract, Cosmos DB, Kusto, Apache Spark, Apache Ignite, Grafana, PowerBI, neo4j and Dremio.
As part of MLOps v3 platform, foundational services and continued impact layer will be built. Foundational services will be around Data Quality, Reproducibility, Automated Model Management, Enterprise Model Governance, Model Artifact Catalog & Retrieval, Automated Reports & Alerting, Model Diagnostics Platform, Peak Performance Testing, Model Governance, Foundational Services (New Techniques, Common Tasks such as anomaly detection, recommenders etc.), Release Automation, Compliance and Feature Store. Continued Impact will encompass Model Performance Monitoring, Impact Assessment, Experimentation and Back-testing platform. The platform must support running of 1000s of models. MCDS Research also contributes to next generation of algorithms/models/innovations within the foundational services of the MLOps platform.
Responsibilities
You will be part of the pioneering Exploratory & Research Team with the following responsibilities –
- Partner with Delivery teams across MCDS working to improve the quality of the work and deliverables with the state-of-the-art
- You will research into foundational ML/AI techniques and advance the state-of-art with respect to the above businesses by implementing the algorithms/models required on the MS Azure stack given above.
- You will file patents and publish papers with respect to the novel algorithms/techniques above and ensure our presence in the top ML conferences and journals both internal (MLADS, MSJAR) and external in consultation with your peers and manager.
- Be responsible for driving innovation and innovation artifacts like information disclosures/patents, papers in internal (MLADS, MSJAR) and external conferences/journals
- Solve really hard ML problems with long gestation periods
- Contribute to the state-of-the-art on the MLaaS and MLOps services platforms
- Partner closely with engineering, product management, analytics & transformation, data sciences teams from across MCDS to deliver outstanding value to stakeholders and our products/services.
- Build and enhance the frameworks and tools that we use in our MLOps platforms.
- work closely with data scientists, Data Engineers, Program Managers to design and implement a mature MLOPS platform with features including – Impact Assessment, Back-testing, Model Performance Monitoring, Data Drift, Model Drift, Concept Drift, Explainability, Experimentation, Performance Testing, Reproducibility Check, Logging Checks, Model Usage, Model Bias & Fairness Testing, Root-causing, Data Quality Checks as service, Continuous Integration/Continuous Deployment testing.
- Synthesize a wide range of requirements to make significant contributions to the feature roadmap for the MLOps platform
- Strong understanding of product requirements, technical solution plan and testing objectives.
- Review test coverage of new features and provide suggestions to improve their quality.
Qualifications
- 10 Years of experience along with a PhD in Computer Science, Mathematics, Statistics, Physics or related field. Candidate with MS holding top conference publications will be considered.
- Knowledge of (with deep expertise in at-least one of) Classification, Prediction, Recommender Systems, Time Series Forecasting, Anomaly Detection, Optimization, Graph theories, NLP.
- Expert in more than one more major programming languages (Java, C++ or similar) and at least one scripting language (Python, Perl, or similar)
- Knowledge of one of the Deep Learning frameworks (PyTorch, MXNet, TensorFlow, Keras)
- Prior publications in top ML conferences such as NeurIPS, AAAI, CVPR, IJCAI, ICML, ICLR, CoLT, KDD etc. is a plus
- Experience in working in top research labs is a plus.
- Prior experience in development/coding is mandatory: Strong understanding of frameworks/IDEs/development best practices aka CI/CD is a plus.
- Familiarity with salient Machine Learning and Statistics concepts – confidence intervals, model performance validation, ML model training, basic probability theory and linear algebra.
- Must be able to automate ML processes such as model re-training and design techniques for detecting poor model performance e.g. Data Drift or Accuracy Degradation
- Experience designing GUIs is a 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.
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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