Talent Acquisition Specialist in Jaipur

LMDmax is hiring a dedicated US recruiter for night shifts, focusing on the US market. The ideal candidate will have experience recruiting professionals, managing high-volume calls, and overseeing the entire recruitment process. This role involves making 100-150 calls daily during peak time and onboarding qualified candidates for non-IT roles across the US.

Key Responsibilities

• Source, screen, and evaluate non-IT candidates based on client requirements.
• Conduct 100-150 US calls per day to engage with potential candidates.
• Manage the full recruitment life cycle, from sourcing to offer negotiation and onboarding.
• Collaborate with US-based clients and hiring managers to understand job requirements.
• Post job openings on job boards and social media platforms.
• Build and maintain a pipeline of qualified candidates for future hiring needs.
• Use tools like ATS (Applicant Tracking System) to manage recruitment activities.
• Negotiate compensation packages, manage candidate expectations, and ensure a smooth onboarding process.
• Onboard selected candidates and ensure alignment with client expectations.
  
  

Additional Details

• Location: (Onsite or remote) Jaipur, India.
• Shift timings:
  
  

i. EST: 4:30 PM - 2:30 AM or PST: 8:30 PM - 5:30 AM.

Benefits

• Competitive salary.
• Laptop assistance.
• Dinner facilities.
• Opportunity to work with leading global clients.
• Career growth opportunities.
• Work-life balance with fixed shift timings.
  
  

About Company: Softsensor.ai is the USA and India-based corporation focused on delivering outcomes to clients using data. Our expertise lies in a collection of people, methods, and accelerators to rapidly deploy solutions for our clients. Our principals have significant experience with global leading consulting firms & corporations and delivered large-scale solutions. We are focused on data science and analytics for improving the process and organizational performance. We are working on cutting-edge data science technologies like NLP, CNN, and RNN and applying them in the business context.