Microsoft’s Cloud and AI group has a unique opportunity at the intersection of cloud computing and artificial intelligence. Fueled by Microsoft's cloud-first vision, we are disrupting the cloud industry with innovation and large-scale AI implementation.
The goal of the Microsoft Cloud Data Science (MCDS) team is to foster a data-driven culture. In support of this mission, our machine learning team carries out applied research in ML/AI and designs, develops and deploys state of the art algorithms for various business scenarios. Some of the more recent developments include applications of deep learning, neural networks, NLP techniques in partnership with teams across engineering, finance, business planning, and sales and marketing. Our team also has a strong presence in both internal and external data science and AI/ML conferences.
As a leader in MCDS, you are someone who can bring structure to ambiguous business problems and use science, logic, and practical experience to decompose them into straightforward, scalable solutions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems; you're interested in learning; and you acquire skills and expertise as needed.
In this role, you will lead a team of ML scientists and engineers to translate business and functional requirements into concrete deliverables, including the design, development, testing, and deployment of highly scalable distributed ML services. You will provide thought leadership to scientists, and engineers to help invent and implement scalable predictive and prescriptive models while building tools to help our customers gain and apply insights. This is a unique, high visibility opportunity for a leader who wants to have business impact, dive deep into large-scale problems, and enable measurable actions on the customer behavior and consumption. We are particularly interested in candidates with experience building predictive models and working with distributed systems. You will partner with engineering leaders and other org leaders to deliver advanced ML/DL solutions which can solve problems in their space.
You will work with teams of talented scientists, and fill the ranks by attracting the best scientists in machine learning, e.g. personalized recommendation and forecasting etc.
If you are seeking an iterative, fast-paced environment where you can drive innovation, apply state-of-the-art technologies to solve extreme-scale real world delivery challenges, and have business impact on global scale, this is your opportunity. Join us and be a part of an exciting team that is shaping the evolution of cloud computing. To learn more about what our broader group works on, please visit: https://medium.com/data-science-at-microsoft.
+ Lead teams of Data scientists on variety of projects from concept-completion. lead a team of ML scientists and engineers to translate business and functional requirements into concrete deliverables including the design, development, testing & deployment of highly scalable distributed ML solutions that land in production in our industry leading MCDSMLOps environment on top of Azure ML.
+ Hire and develop top talents, provide technical and career development guidance to both scientists and engineers in the organization. Be a leader of leaders. Coach and mentor team members for success.
+ Ensure results and retention of the team conducting regular 1x1s, team meetings, providing feedback, coaching & delegation.
+ Seek, give and receive critical feedback including but not limited to code review.
+ Unique High-visibility role with senior stakeholders to drive significant business impact, deep-dive into large-scale problems and enable measurable action as via experiments. Lead proof-of-value and quantify business impact.
+ Collaborate with business stakeholders to ensure ML solutions are adopted to successfully deliver the business outcomes.
**Project and Program Management:**
+ Ability to multi-task effectively.
+ Develop science and engineering roadmap, run Sprint/quarter/Semester and annual planning, and foster cross-team collaboration to execute complex projects.
**Research and Advancements:**
+ Advance team's engineering craftsmanship and drive continued scientific innovation as a thought leader and practitioner. Identify and investigate modern technologies, prototype and test solutions for product features, and design and validate designs that deliver an exceptional user experience.
+ Combine broad and deep knowledge of relevant research domains with the ability to synthesize a wide range of requirements to make significant contributions to the feature roadmap for the applied machine learning platform.
+ Collaborate closely with Analytics, Engineering, and Experimentation teams by demonstrating cross-functional resource interaction to deliver ML models.
**External & Internal Branding:**
+ Represent MCDS to various personas across data scientists to the C-suite across Microsoft and externally.
+ Master’s in computer science/Ph.D., Electronics, Physics, or related field with focus on machine learning.
+ 15+ years of overall experience across Data Sciences, Machine Learning and Deep learning in industry and/or academia out of 10 years of people management, Hiring Ph.D. level scientists' mentor and coach expertise.
+ 5+ yrs of expertise in AI, Python programming and one of the following Deep Learning frameworks (PyTorch, MXNet, TensorFlow, Keras) and big data technologies like Hive, PySpark, Synapse, Databricks etc.
+ 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.
+ Drive innovation goals around conferences, journals, and information disclosures.
+ Strong skills in collaboration and teamwork.
+ Ability to handle multiple competing priorities in a fast-paced environment.
+ Scientific thinking and ability to invent: Prior experience creating intellectual property through patents desirable.
+ Ph.D. preferred.
+ Solid software development skills are plus.
+ Knowledge and experience working within cloud computing environments such as Azure or AWS.
+ Highly motivated to achieve results in a fast-paced environment.
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.
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. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a requestvia theAccommodation request form (https://careers.microsoft.com/us/en/accommodationrequest) .
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.