Lead Data & AI Engineer

Microsoft Corporation Redmond , WA 98053

Posted 3 months ago

Never before have information, analytics, and artificial intelligence been so important to business success. That momentum is matched with Microsoft's investment in empowering business transformation for our customers. Microsoft's Advanced Services Delivery (ASD) Engineering organization is infusing AI into the digital delivery channels for proactive support (product optimization), reactive support, and customer education across all Microsoft products. This role, Lead Data & AI Engineer, will be key in realizing this vision.

This individual will be part of a team of high caliber Data Scientists (code named Monocle), chartered to both execute in an applied science paradigm by creating AI enabled product features and customer insights, and in a research capacity by leading new innovations and creating novel algorithms and publications. The Lead Data & AI Engineer will work closely with data scientist counterparts, engineers BI architects, product owners, and customer experience researchers to execute on the data processing and engineirng work required for the data science group and create our next gen modern data platform. It requires agility, scientific thinking, and a wealth of curiosity. This is an opportunity to join a team with a culture fostering collaborations and partnerships across the research industry and Microsoft.

More broadly, the goal of the ASD organization, is to improve IT health outcomes for Microsoft's largest business and enterprise customers, and to enable profitability of the Microsoft Services business via packaged, highly-scalable digital delivery assets. We do this through three primary deliverables: A platform for performing customer IT health assessments, a catalog of IP that includes digital learning assets and workshops to help educate customers, so they can make the most of their IT environments, and a portal called the Services Hub that ties it all together. We have over 20,000 active customers and are working to improve our platform and the services we deliver on top of it and driving the future of the entire Services business.

REQUIRED QUALIFICATIONS

  • 5+ years of engineering experience using large data systems on SQL, Hadoop, Spark, etc.
  • 5+ years of experience using one or more programming or scripting language like Python, Scala, or C# to work with data.
  • 2+ years of experience using tools like Python, R, MATLAB, AMPL, SAS, or other relevant data science tools/environments

Knowledge and experience with key data science areas such as machine learning, deep learning, anomaly detection, predictive analysis, text analysis, exploratory data analysis, and other areas of data science

  • Experience performing data analysis including applying statistics

  • Excellent verbal and written communication skills with experience presenting to large and small audiences

  • Ability to interact with peers and stakeholders to define and drive product and business impact

  • Degree in in Computer Science, Statistics, Mathematics, Economics, or another quant-focused field

  • Experience with product and service telemetry systems

Passion to learn world class techniques and tools

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 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.

Key responsibilities:

  • You will work with stakeholders to formulate approaches to solve problems using algorithms and data sources in context of customer, engineering, and business needs.

  • You will use data exploration techniques to discover new opportunities within your problem area.

  • You will interpret the results of analyses, validate approaches, and learn to monitor, analyze, and iterate to continuously improve.

  • You will engage with stakeholders to produce clear, compelling, and actionable insights that influence product and service improvements that will impact millions of customers.

  • You will also engage in the peer review process and act on feedback while learning innovative methods, algorithms, and tools to increase the impact and applicability of your results.

icon no score

See how you match
to the job

Find your dream job anywhere
with the LiveCareer app.
Mobile App Icon
Download the
LiveCareer app and find
your dream job anywhere
App Store Icon Google Play Icon
lc_ad

Boost your job search productivity with our
free Chrome Extension!

lc_apply_tool GET EXTENSION

Similar Jobs

Want to see jobs matched to your resume? Upload One Now! Remove
Senior Data Engineer AI

Nvidia

Posted 3 days ago

VIEW JOBS 9/14/2019 12:00:00 AM 2019-12-13T00:00 We are now looking for a Senior Data Engineer - AI Data Platform NVIDIA is hiring senior distributed systems and data engineers to scale up its AI infrastructure and deep learning platforms! You will need to have strong programming skills and a deep understanding of data science technologies. You should have production grade experience working with heterogeneous data types at scale, cloud technologies, distributed storage & compute systems, and distributed services architecture. You will require excellent communication and planning skills. Together, we will help advance NVIDIA's capacity to build and deploy leading solutions for a broad range of AI based applications such as autonomous vehicles, healthcare, virtual reality, graphics engines and visual computing. What you'll be doing: * Orchestrate large PB sized data storage and compute clusters across bare metal and cloud that support distributed AI infrastructure. * Design and program scalable data lake interfaces, microservices, and web technologies that support ingesting and querying structured data. * Architect and program high performance compute and data pipelines that support efficient queries. Enabling efficient data selection is a key ingredient to successful machine learning! * Build and implement support for versioned, traceable, and immutable datasets in a data lake in a distributed and scalable manner. * Stand up distributed systems for mining and analyzing data to help AI leaders and researchers make data driven decisions for data collection, diversity, training, and evaluation. * We will spend a majority of the time writing and peer reviewing high performance, high quality, and well tested and well architected code. What we need to see: * You have a BS or MS in Computer Architecture, Computer Science, Electrical Engineering or a related data intensive Engineering Degree with 7+ years of relevant experience in a programming intensive role. * Strong programming background that incorporates methodologies like data structures, design patterns, OOP, and test driven development. * A technical authority with strong experience in traditional big data technologies, databases, analytics, and common architectures. * Built and orchestrated massive business critical data clusters, infrastructure, services, and ETL pipelines in a cloud environment. * Proven experience in collaborating with multiple teams to collect and process large amounts of data, building microservices, and RESTful APIs. * An expert programmer in Go, C/C++, Scala, and SQL. * Advanced expertise in MapReduce, Hadoop, Hive, Presto, Spark. * Highly motivated with strong interpersonal skills, you have the ability to work successfully with multi-functional teams, principles and architects and coordinate effectively across organizational boundaries and geographies. Ways to stand out from the crowd: * Experience with structured data such as Avro, Parquet, Protobuf, Thrift, and concepts like schema evolution. * Experience with full-stack web based visualization technologies to help provide data insights. * Strong understanding of Docker and orchestration systems such as Kubernetes. * Do you have a go getter attitude to dive deeper and understand technical requirements? NVIDIAis widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and talented people in the world working with us and our engineering teams are growing fast in some of the hottest state of the art fields: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. If you're a creative and autonomous computer scientist with a real passion for distributed systems and parallel computing, we want to hear from you. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression , sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. #deeplearning Nvidia Redmond WA

Lead Data & AI Engineer

Microsoft Corporation