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.

Responsibilities

We are looking for ML scientists with a strong background in machine learning to build industry-leading solutions.

• You will work with huge volumes of data to solve real-world ML problems that are productionized into our MLOps platform to be consumed by downstream applications OR become product feature OR stand-alone products.
• You will work with global teams with an opportunity to create phenomenal impact. 
• You will combine data sciences depth, programming expertise and mathematical understanding of techniques to deliver state-of-the-art ML solutions for problem solving across the enterprise.
• You will demonstrate a product mindset and look to deliver re-usable components that can be deployed as or into ML services/productized solutions.
• You will partner closely with engineering, product management, analytics & transformation teams from across MCDS to deliver outstanding value to stakeholders and our products.

We are looking to strengthen our ML footprint across Digital namely e-commerce/direct (BizApps Direct business around PowerApps & Dynamics Platform), Developer Relations, Learning Portal, Marketplace.

Prior experience in organizations driving e-commerce ML solutions like recommender system design, User Insight Engine Development, Personalization Engines, Digital Buyer Journey, next Best Action, Marketing Channel Optimization is highly desired.

Knowledge of client-side scripted web-analytics tools like Adobe (across the suite) is highly valuable.

Qualifications

#Masters degree in Computer Science, Mathematics, Statistics, Physics or related field with 6+ Years of industry experience. Focus on ML preferred. Ph.D. desirable 

# Strong expertise in Python programming and one of the Deep Learning frameworks (PyTorch, MXNet, TensorFlow, Keras) 
# Knowledge of (with deep expertise in at-least three of) Classification, Prediction, Recommender Systems, Time Series Forecasting, Anomaly Detection, Optimization, Graph ML, NLP 
# Hands-on develop ML models using the above techniques across Customer, Partner, Field & Sales in varied domains 
# Ability to both use existing libraries (ML, Deep Learning, Re-inforcement Learning) as well as design algorithms ground-up 
# Able to prepare data pipelines and feature engineering pipelines to build robust models using SQL, PySpark, Azure Data Studio etc 
# Strong research record preferred demonstrated, through publications 
# Scientific thinking and ability to invent: Prior experience creating intellectual property through patents desirable.

# Proficient in Relational Databases (SQL) and Big Data Technologies (Hive, PySpark)
# Exposure to real-world MLOps 
# Knowledge of working in cloud-computing environment like Azure or AWS or Google Cloud. Azure preferred

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.