21 Oct
|
Palni
|
Hyderabad
Job Summary
We are looking for a Senior US IT Recruiter with strong experience in US IT staffing, W2 hiring, Financial Services recruitment, and MSP/VMS accounts. The ideal candidate should have hands-on experience supporting clients such as Fannie Mae, Freddie Mac, Infosys, and Pontoon, with expertise in sourcing and closing candidates for Contract, Contract-to-Hire, and Full time positions.
Key Responsibilities
- Manage the end-to-end US IT recruitment lifecycle.
- Handle client requirements across Fannie Mae, Freddie Mac, Infosys, Pontoon, and other MSP/VMS accounts.
- Source candidates through LinkedIn Recruiter, Dice, Monster, CareerBuilder, JobDiva, ATS platforms, referrals, and networking.
- Recruit W2 consultants and build strong candidate pipelines.
- Screen candidates and assess technical skills against client requirements.
- Hire for Financial Services, Banking, Mortgage, Lending, Capital Markets, FinTech, and Insurance domains.
- Recruit for GenAI, AI/ML, LLMs, RAG, Full Stack, Java, .NET, Python, Cloud, DevOps, and Data Engineering roles.
- Ensure quality submissions within client SLAs and aggressive deadlines.
- Coordinate interviews, offer negotiations, onboarding, and joining formalities.
- Achieve monthly recruitment targets and improve submission-to-interview and interview-to-placement ratios.
- Identify and close immediate joiners and actively available consultants.
Required Skills
- 35 years of US IT Recruitment experience.
- Strong expertise in W2 hiring and US staffing.
- Hands-on experience with MSP/VMS accounts.
- Experience working with Fannie Mae, Freddie Mac, Infosys, and Pontoon.
- Proven Financial Services recruitment experience.
- Experience hiring for GenAI, AI/ML, Data Engineering, and Full Stack roles.
- Excellent communication, negotiation, sourcing, and stakeholder management skills.
- Ability to manage multiple requirements and meet tight deadlines.
Preferred Skills
- Knowledge of Agentic AI, GenAI, LLMs, RAG, and MLOps.
- Familiarity with AWS Bedrock, Azure OpenAI, LangChain, and vector databases.
- Exposure to Snowflake, Databricks, Hadoop, Spark, and Kafka.
📌 Senior US IT Recruiter (Hyderabad)
🏢 Palni
📍 Hyderabad