Amazon Talent Acquisition (ITA) aims to reinvent the hiring process by delivering unprecedented scale, sophistication, and accuracy. The goal is to connect the right people to the right jobs in a fair and precise manner, addressing the challenge of hiring hundreds of thousands of workers efficiently.
Requirements
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- Advanced knowledge of Agentic AI frameworks like Crew AI, OpenAI SDK, Autogen, LangGraph or other similar frameworks.
Responsibilities
- Use data science and machine learning to drive business insights, centralizing dashboards, developing and deploying machine learning models, conducting online evaluation and verification of agentic actions.
- Develop AI/ML solutions for Intelligent Talent Acquisition
- Work closely with engineers, scientists, and product managers to design, implement and launch AI solutions, including Agentic AI, end-to-end
- Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses
- Effectively communicate technical and non-technical ideas with teammates and stakeholders
- Stay up-to-date with advancements and the latest modeling techniques in the field.
Other
- Bachelor's degree or equivalent
- Master's degree in computer science or equivalent
