Overview
On Site
USD 119,800.00 - 234,700.00 per year
Full Time
Skills
Innovation
Database
Messaging
Real-time
Business Intelligence
SQL Azure
Cosmos-Db
PostgreSQL
GRID
Microsoft Power BI
Microsoft Azure
Data Engineering
Data Integration
Data Science
Workflow
Management
Art
Pandas
scikit-learn
TensorFlow
PyTorch
Artificial Intelligence
Privacy
Accountability
Software Development
Collaboration
Continuous Improvement
Screening
PASS
Cloud Computing
Computer Science
C
C++
C#
Java
JavaScript
Python
Machine Learning (ML)
Apache Spark
Apache Hadoop
Open Source
Big Data
Distributed Computing
Communication
Presentations
Software Engineering
Integrated Circuit
IC
Internal Communications
Legal
Recruiting
Microsoft
Analytics
Generative Artificial Intelligence (AI)
Job Details
Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further . This is a world of more possibilities , more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.
Microsoft's Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is tobuild the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.
Within Azure Data, the big data analytics team provides a range of products that enable data engineersanddata scientiststo extract intelligence from all data-structured, semi-structured, and unstructured. We build the Data Engineering, Data Science, and Data Integration pillars of Microsoft Fabric.
The Synapse Data Science team provides the Data Science and Artificial Intelligence experiences in Microsoft Fabric, providing Fabric customers with complete end-to-end data science workflows for the purpose of data enrichment and business insights. Join our team to help build the services that power these experiences.
We are expanding our team to bring together the best in big data management, machine learning, and artificial intelligence. We work with and contribute to state-of-the-art open-source packages, including Apache Spark, Koalas, Pandas, Dask , sklearn , MLFlow , TensorFlow, and PyTorch , as well as generative AI. We combine those with our own tech to build secure, reliable, scalable, and high-performance machine learning platforms. With our platforms, we strive to enable our customers to follow the principles of responsible AI: Fairness, Inclusiveness, Reliability & Safety, Privacy & Security, Transparency, Accountability.
You will be an important part of a team of highly motivated and talented individuals and this is a great opportunity to challenge yourself, grow your career and be part of the fastest growing field in computer science and beyond.
We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served .
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities:
Qualifications:
Required/minimum qualifications
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:
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: ;br>
Microsoft will accept applications for the role until August 5th, 2025.
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.
#azdat
#azuredata
#analytics #GenAI
Microsoft's Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is tobuild the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.
Within Azure Data, the big data analytics team provides a range of products that enable data engineersanddata scientiststo extract intelligence from all data-structured, semi-structured, and unstructured. We build the Data Engineering, Data Science, and Data Integration pillars of Microsoft Fabric.
The Synapse Data Science team provides the Data Science and Artificial Intelligence experiences in Microsoft Fabric, providing Fabric customers with complete end-to-end data science workflows for the purpose of data enrichment and business insights. Join our team to help build the services that power these experiences.
We are expanding our team to bring together the best in big data management, machine learning, and artificial intelligence. We work with and contribute to state-of-the-art open-source packages, including Apache Spark, Koalas, Pandas, Dask , sklearn , MLFlow , TensorFlow, and PyTorch , as well as generative AI. We combine those with our own tech to build secure, reliable, scalable, and high-performance machine learning platforms. With our platforms, we strive to enable our customers to follow the principles of responsible AI: Fairness, Inclusiveness, Reliability & Safety, Privacy & Security, Transparency, Accountability.
You will be an important part of a team of highly motivated and talented individuals and this is a great opportunity to challenge yourself, grow your career and be part of the fastest growing field in computer science and beyond.
We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served .
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities:
- Design and develop high performance GenAI applications for cloud offerings.
- Solve hard technical challenges in GenAI and distributed computing.
- Use engineering best practices throughout the software development lifecycle to establish maintainable, reliable, and secure systems.
- Collaborate with teammates in various roles to plan and execute on key deliverables.
- Participate in rotating livesite shifts, working on call to monitor system/product feature/service for degradation, downtime, or interruptions.
- Work in a culture of continuous improvement, adaptation, reflection, and growth.
Qualifications:
Required/minimum qualifications
- Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- 2+ years of experience developing products or applications powered by Generative AI .
- 1+ year of experience assessing the quality of Generative AI outputs, including evaluating accuracy, utilizing benchmarks and relevant metrics and proposing enhancements.
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.
- Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- Experience with industrial machine learning applications
- Experience working with open-source computing frameworks such as Spark and Hadoop
- Experience participating in open-source development
- Hands-on project experiences in big data analysis or distributed computing
- Good communication and presentation skills
- Solve problems by always leading with deep passion and empathy for customers
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: ;br>
Microsoft will accept applications for the role until August 5th, 2025.
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.
#azdat
#azuredata
#analytics #GenAI
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.