Job description

We are building an application using Generative AI, Large Language Models (LLMs), and copilots. The Microsoft Power Platform (Power Automate, Power Apps, Microsoft Copilot Studio, Power BI) is a rocket ship fueled by organizations worldwide investing in low-code/no-code development to accelerate their digital transformation ambitions. We are part of the AI team within the Business Applications Group, responsible for bringing AI to enterprise solutions at scale. We are looking for a Senior Applied Scientist to join our team! In this role, you will focus on building AI features using LLMs.

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

AI is now undergoing a transformational change with the advent of LLMs and capable of making the next generation scenarios in Automation a reality. We are seeking a Senior Applied Scientist with expertise in working with Large Language Models (LLMs) and other State of the art models to design scalable high fidelity systems. As a Senior Applied Scientist, you will build and measure quality for systems that allow LLMs to reason over large amounts of data as well as leveraging lighter weight models for specific scenarios. We are looking for an individual who has experience working with product teams and partnering with them to deliver joint solutions. This can range from collaborating to build fine-tuned models to devising ways to construct LLM chains for specific product needs.

QualificationsRequired/Minimum Qualifications:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
• OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
• OR equivalent experience.
• 3+ years experience writing production code as well as deploying and maintaining shipped models over time.
• 2+ years experience working on deep learning architectures specifically with Natural language-based models, vector databases and graph databases.
• 2+ Experience designing data generation pipelines, experimentation plans, and setup metrics.

Preferred Qualifications:

• Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) O
• OR equivalent experience.
• Experience developing applications using prompt engineering, fine tuning, Open AI or Azure Open AI APIs.
• Experience collaborating effectively across partner teams.
• Experience in Deep learning architectures and implementation using Pytorch or TensorFlow.

Ready to take your career to the next level?

Send your CV to careers@zachsys.com and become a part of our dynamic team!