Applied Scientist II

4 months ago


Hyderabad, India Microsoft Full time

Overview

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.

The AI Platform organization at Microsoft builds the end-to-end Azure AI stack/PaaS and is core to Azure’s innovation and differentiation, as well as all of Microsoft’s flagship products, from Office to Teams, to Xbox. We are the team building Azure OpenAI, Azure ML, Cognitive Services, and the global Azure AI infrastructure for running the largest AI workloads on the planet.

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.

 Within AI Platform, the Cognitive Services team empowers developers and data scientists around the world and of all skill levels to easily add AI capabilities to their apps. #aiplatform

Qualifications

Required Qualifications:

Master's AND 2+ years' experience (or Bachelor's AND 4+ years' experience, or 7+ years of equivalent experience) in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field with specialization in natural language processing/computer vision/multimodal analysis/deep learning/machine learning. Strong algorithmic problem solving and software development skills (Python/Java/C++). Proficiency with open-source tools such as PyTorch. Experience with statistical analysis and data visualization tools. Excellent verbal and written communication skills.

Preferred/Additional Qualifications:

Publication(s) in top-tier conferences or journals in related fields (e.g., ACL, EMNLP, CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, AAAI, etc.). Industry experience with large-scale data processing, distributed computing, or cloud platforms. Demonstrated interest and/or expertise in Responsible AI and fairness considerations. Experience collaborating with teams of diverse technical and cultural backgrounds.

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