Ramya Mohan
Sr. Full Life-Cycle Recruiter - Amazon Operation Technology
- Role
- Sr Full Life-cycle Recruiter at Amazon
- Location
- Redmond, WA, US
- LinkedIn followers
- 500 followers
About Ramya Mohan
Our mission is to be Earth’s most customer-centric company. This is what unites Amazonians across teams and geographies as we are all striving to delight our customers and make their lives easier, one innovative product, service, and idea at a time. Come build the future with us!
Experience
Sr Full Life-cycle Recruiter
May 2022 — Present · Seattle, WA, US
Owned the entire end-to-end recruiting cycle for Science, Analytics, Engineering and Product roles including intake, market mapping, sourcing strategy, calibration, offer negotiation, closure and onboarding process• Specialized in hiring science talents with background in Machine Learning, Deep Learning, GenAI/LLM, NaturalLanguage Processing, Operations Research, Computer Vision.• Experience in both unique and innovative hiring strategies such as research mapping, leveraging AI tools (Cedric, RAIH, AZA) and traditional recruiting searches (such as boolean string and X-ray search)• Collaborating with hiring leaders, comprehending hiring needs, formulating customized hiring strategies• Scaled hiring through domain based interviewer calibration training, talent mapping, conference strategy, building technical assessment for niche skills, developing international hiring strategies• Built and scaled science conference programs across Amazon Stores businesses, aligning stakeholders on goals, sponsorships, recruiting, and performance outcomes• Collaborated with peer science recruiting teams to understand the gaps and challenges to identify recurring themes and developed targeted training programs including Immigration training, calibration training, closing strategies and Talent mapping) to improve team performance and hiring outcomes• Collaborated with the Analytics team to build a custom QuickSight dashboard enabling real-time visibility into pipeline health and supporting proactive, data-driven hiring strategies• Implemented a standardized calibration framework for domain-specific science roles, resulting in a 32% improvement in onsite to-offer ratio.• Leveraged AI tools to streamline domain specific sourcing, feedback analysis and offer evaluation
Education
National Institute Of Retail Management
Master of Business Administration (M.B.A.), Finance and Retail Management
2011 — 2013
University of Madras
Bachelor of Commerce (B.Com.), Business/Commerce, General
2007 — 2010
Skills
- Management
- Temporary Staffing
- Sourcing
- Vendor Management
- Customer Management
- Test Scripts
- Operations Management
- Test Planning
- Internet Recruiting
- Customer Satisfaction
- Customer Service
- Pre-Screening
- Recruiting
- Client Expectations Management
- Team Management
- Applicant Tracking Systems
- Screening
- Hiring
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