QUALIFICATIONS

Required qualifications

• Bachelor’s degree in computer science, software engineering or relevant field required.
• Deep hands-on experience with python for data processing, automation, and/or software development.
• Hands-on experience with generative AI technologies (such as large language models, generative models, or related frameworks).
• Track record of spotting high-impact opportunities and driving them independently to completion.

Preferred qualifications

• Comfortable working in collaborative, cross-functional teams and adapting to evolving business needs.
• Demonstrated experience in proactively identifying machine learning opportunities and driving impactful outcomes is highly desirable.
• Experience collaborating with hardware teams and developing software solutions tailored to their needs is a plus.

Quantum #QuantumCareers #MDQCareers

• Design and Development of Solutions: Lead the architecture and implementation of scalable solutions using Python, spanning data processing, automation, and application development across diverse domains.
• Generative AI and Advanced Technologies: Apply knowledge of generative AI, large language models, and modern frameworks to develop intelligent features and drive innovation within projects.
• Client Libraries and Application Components: Create and maintain robust client-side libraries and application modules to support seamless integration and enhanced user experiences.
• Cross-Functional Collaboration and Adaptability: Collaborate with multidisciplinary teams and adapt quickly to evolving project priorities, contributing expertise in software engineering, data, or related areas as needed.
• Azure Platform Integration: Deploy, integrate, and manage solutions leveraging the Azure ecosystem, ensuring security, scalability, and compliance with best practices.
• Design and Development of Solutions: Lead the architecture and implementation of scalable solutions using Python, spanning data processing, automation, and application development across diverse domains.
• Generative AI and Advanced Technologies: Apply knowledge of generative AI, large language models, and modern frameworks to develop intelligent features and drive innovation within projects.
• Client Libraries and Application Components: Create and maintain robust client-side libraries and application modules to support seamless integration and enhanced user experiences.
• Cross-Functional Collaboration and Adaptability: Collaborate with multidisciplinary teams and adapt quickly to evolving project priorities, contributing expertise in software engineering, data, or related areas as needed.
• Azure Platform Integration: Deploy, integrate, and manage solutions leveraging the Azure ecosystem, ensuring security, scalability, and compliance with best practices.
  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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  Industry leading healthcare
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  Educational resources
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  Discounts on products and services
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  Savings and investments
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  Maternity and paternity leave
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  Generous time away
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  Giving programs
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  Opportunities to network and connect
  Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.