TL;DR

Applied Scientist (AI/ML): Building and optimizing smart shopping experiences with personalization, savings, transparency, and convenience by harnessing AI, LLMs, and LLM-based Agents. Focus on developing and iterating on machine learning features and models to improve product quality and user experience.

Location: Onsite in Cairo, Egypt

Company

%hirify_global% is building best-in-class shopping experiences across Bing, MSN, and Edge, leveraging AI, LLMs, and LLM-based Agents to empower customers to shop smarter.

What you will do

Leverage state-of-the-art machine learning techniques to provide the best personalized experience to end users.
Originate, implement, and iterate on machine learning features and models to keep improving product quality.
Closely collaborate with different teams within Microsoft to expose personalized content and enable agile development.
Lead and mentor resources across projects.

Requirements

Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience.
2+ years of experience with machine learning, data analysis, and modeling.
Experience with LLMs (prompting, fine-tuning, deployment).

Nice to have

Demonstrated ability to be productive and effective in a highly collaborative environment.
Experience in Big Data machine learning with Cosmos/Scope/Spark.
Experience with design, problem solving, and data analysis skills, with demonstrated passion for quality, performance, and engineering excellence.

Culture & Benefits

Join the Microsoft Shopping team to deliver smart shopping experiences with personalization, savings, transparency, and convenience.
Harness the power of AI, LLMs, and LLM-based Agents to build best-in-class shopping experiences.
Work within a growth mindset culture, innovating to empower others.
Contribute to a culture of inclusion based on values of respect, integrity, and accountability.

Applied Scientist (AI)