Senior Data and Applied Scientist
4 weeks ago
About the Role
We are seeking a highly motivated Senior Data and Applied Scientist to join our Windows Servicing and Delivery - AI Solutions team. As a member of our team, you will play a critical role in designing and delivering quality AI solutions for internal and external customer requirements.
Key Responsibilities
- Delivering high-quality AI-powered solutions for internal and external customer requirements.
- Engaging with key partners to understand state-of-the-art LLMs and ML models, and running them at scale in a performant and cost-effective manner.
- Anticipating, identifying, assessing, tracking, and mitigating project risks and issues in a fast-paced startup-like environment.
- Driving thought leadership, architecture, and high-scale, high-throughput, low-latency inferencing.
- Contribution to all phases (design, prototype, implement, test) of our modern, scalable, AI solutions.
Requirements
- Bachelor's or master's in computer science, data science, engineering, or a related field, or equivalent industry experience.
- 8+ years of professional software development experience with 4+ years focus on AI and machine learning applications.
- Experience in building enterprise-grade applications in C++/C#, Python, and experience with frameworks like PyTorch or TensorFlow.
- Experience with natural language processing, generative AI, or related field.
- Experience of working with generative AI models, LLMs (GPT, Mistral, other Azure/hugging face models).
Preferred Qualifications
- Knowledge and understanding of SLM (Small Language Models) and TLM (Tiny Language Models).
- Knowledge of Azure technologies (Service Fabric, Logic Apps, Azure SQL, Azure Storage) and Microsoft Stack (C#, SQL, ASP.NET).
- Platform and capability development experience in Azure/Cloud strong plus.
- Contributions to open-source projects or published research in relevant areas.
About Microsoft
Microsoft is an industry leader in developing AI technologies that can impact millions of devices and shape the work culture of a newly established team. We are committed to diversity, equity, and inclusion in the workplace and strive to create a global team that reflects our global customer base.
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