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ML Talent Partner & Researcher

ML Talent Partner & Researcher

Intelliswift SoftwareSan Jose, CA, US
3 days ago
Job type
  • Temporary
Job description

ML Talent Partner & Researcher

Job Title : ML Talent Partner & Researcher

Location : San Jose, CA Hybrid (3 days in-office)

Duration : 6 months

Contract Type : W2 only

Pay Rate : $63.38 / Hour

Role Mandate

We are seeking a highly skilled Talent Researcher / Talent Partner with deep expertise in sourcing and recruiting top AI / ML talent. This role combines advanced research sourcing techniques with full cycle recruiting capabilities to attract and secure world-class technical talent in a competitive landscape.

Responsibilities

Talent Research & Sourcing; AI / ML Focus

  • Identify, engage, and build pipelines of top-tier AI / ML talent.
  • Leverage creative sourcing techniques using LinkedIn Recruiter, GitHub, Kaggle, Boolean search, research publications, and academic networks.
  • Conduct market research and competitor analysis to understand talent availability, compensation trends, and skills in demand.
  • Develop innovative strategies to engage passive candidates in the AI / ML space.
  • Provide data-driven insights and market intelligence to inform hiring decisions and guide recruitment strategy.

Talent Advisory & Full-Cycle Recruiting

  • Partner with hiring managers to define hiring strategies aligned with business priorities in AI / ML and applied sciences.
  • Drive end-to-end recruitment, including pipelining, interviews, stakeholder management, and offer negotiation.
  • Support the hiring process with agility; interview coordination, debriefs, and event planning for candidate engagement.
  • Required Skills

  • 5+ years of recruiting experience, including 3+ years as a Talent Partner / Advisor or equivalent in technology-driven roles.
  • Demonstrated experience sourcing and recruiting core AI / ML talent, including applied scientists, ML engineers, computer vision experts, and related applied research roles.
  • Strong sourcing skills with proficiency in LinkedIn Recruiter, Boolean search, GitHub, Kaggle, and academic networks.
  • Deep understanding of applied science, modeling, computer vision, and machine learning domains.
  • Exceptional communication and stakeholder management skills.
  • Familiarity with ATS tools such as Phenom, Workday, or similar.
  • Collaborative, agile mindset with ability to support peers and drive hiring priorities.
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    Talent Partner • San Jose, CA, US

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